Relevant bibliographies by topics / ML TECHNIQUES

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'ML TECHNIQUES'

Author: Grafiati
Published: 19 January 2024
Last updated: 25 July 2025

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Journal articles on the topic "ML TECHNIQUES"

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Jeevana, P., T. Nandini, D. Srilekha, G. Dinesh, and Mrs Archana. "Diabetic Prediction using ML Techniques." YMER Digital 21, no. 04 (2022): 585–93. http://dx.doi.org/10.37896/ymer21.04/59.

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In today's world, diabetes is a huge problem. Diabetes can cause blood sugar levels to rise, which can contribute to strokes and heart attacks. One of the most rapidly spreading diseases is this one. After speaking with a doctor and receiving a diagnosis, patients are normally required to receive their reports. Because this procedure is time-consuming and costly, we were able to fix the problem utilizing machine learning techniques. In medical organizations, many machine learning applications are both exciting and important. Machine learning is being more widely used in the medical field. Our
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Adigun, Taiwo O., Akinola Oshinubi, and Ibukun Eweoya. "Cryptojacking Detection Using ML Techniques." IUP Journal of Computer Sciences 19, no. 1 (2025): 7–17. https://doi.org/10.71329/iupjcs/2025.19.1.7-17.

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Venkata Vara Prasad, D., P. Senthil Kumar, Lokeswari Y. Venkataramana, et al. "Automating water quality analysis using ML and auto ML techniques." Environmental Research 202 (November 2021): 111720. http://dx.doi.org/10.1016/j.envres.2021.111720.

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Mukobara, Yuta, Satoshi Chiba, Kazuki Fujio, Tatsuya Katabuchi, and Chikako Ishizuka. "Fission trajectory analysis using ML techniques." EPJ Web of Conferences 306 (2024): 01042. http://dx.doi.org/10.1051/epjconf/202430601042.

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This research analyzed trajectories of nuclear fission leading to symmetric or assymmetric mass division, obtained by a four-dimensional Langevin-model, using machine learning models. A hybrid neural network, combining Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), both of which were types of Recurrent Neural Networks (RNN), was utilized to classify whether each Langevin trajectory led to symmetric or asymmetric mass division. It was found that the current model could classify fate of these trajectories before reaching to the final destination (symmetric or assymmetric mode) wit
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Kosinska, Joanna, and Maciej Tobiasz. "Detection of Cluster Anomalies With ML Techniques." IEEE Access 10 (2022): 110742–53. http://dx.doi.org/10.1109/access.2022.3216080.

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Derangula, Sirisha. "Identification of phishing websites using ML techniques." International Journal of Communication and Information Technology 1, no. 2 (2020): 28–32. http://dx.doi.org/10.33545/2707661x.2020.v1.i2a.16.

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Nanajkar, Jyotsna, Mayuresh Warang, Pratik Suthar, Shivam Shinde, and Atharv Pawar. "DDoS Attack Detection Using ML/DL Techniques." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem27967.

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The increasing integration of IoT devices has heightened the vulnerability of networks to sophisticated and evolving cyber threats, particularly DDoS attacks, which can severely disrupt service availability. Leveraging machine learning algorithms, this research aims to enhance the proactive identification of anomalous patterns indicative of DDoS attacks within IoT environments. By employing a combination of feature extraction, classification, and ensemble learning methods, the proposed model demonstrates promising results in distinguishing between normal network behaviour and malicious activit
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BALAJI, MR B. ARJUN. "EFFICIENT BREAST CANCER PREDICTION USING ML TECHNIQUES." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30845.

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During their life, among 8% of women are diagnosed with Breast cancer (BC), after lung cancer, BC is the second popular cause of death in both developed and undeveloped worlds. BC is characterized by the mutation of genes, constant pain, changes in the size, color(redness), skin texture of breasts. Classification of breast cancer leads pathologists to find a systematic and objective prognostic, generally the most frequent classification is binary (benign cancer/malign cancer). Today, Machine Learning (ML) techniques are being broadly used in the breast cancer classification problem. They provi
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P, Bhagya Sri, Sindhu Sri G, Jaya Sri K, Leela Poojitha V, and Sajida Sultana Sk. "Intelligent book recommendation system using ML techniques." ITM Web of Conferences 74 (2025): 03007. https://doi.org/10.1051/itmconf/20257403007.

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The current research focuses on a recommendation system based on Decision Tree, Naive Bayes, Ridge Classifier, and Random Forest, using a new hybrid method combining Singular Value Decomposition (SVD) and K-Nearest Neighbors (KNN). The Decision Tree model reaches a good trade-off for precision, recall, and F1 metrics, acting as a benchmark. On the other hand, the hybrid model greatly surpasses the remaining ones in such a way that precision is as high as 89.35%, recall is 59.01%, and F1 is up to 71.30%, thus reinforcing the notion that it finds user preferences for recommendations more effecti
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Tigga, Onima, Jaya Pal, and Debjani Mustafi. "A Novel Data Handling Technique for Wine Quality Analysis using ML Techniques." International Journal of Experimental Research and Review 45, Spl Vol (2024): 25–40. https://doi.org/10.52756/ijerr.2024.v45spl.003.

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In this era, wine is a regularly redeemed beverage, and industries are seeing increased sales due to product quality certification. This research aims to identify key wine characteristics that contribute to significant outcomes through the application of machine learning classification techniques, specifically Random Forest (RF), Decision Tree (DT) and Multi-Layer Perceptron (MLP), using white and red wine datasets sourced from the UCI Machine Learning repository. This research aims to develop a multiclass classification model using machine learning (ML) to accurately assess the quality of a b
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Dissertations / Theses on the topic "ML TECHNIQUES"

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Delestrac, Paul. "Advanced Profiling Techniques For Evaluating GPU Computing Efficiency Executing ML Applications." Electronic Thesis or Diss., Université de Montpellier (2022-....), 2024. http://www.theses.fr/2024UMONS014.

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L'augmentation en complexité des applications d'Intelligence Artificielle (IA) entraîne une demande accrue en puissance de calcul et en énergie pour entraîner et exécuter des modèles d'apprentissage automatique (ML). Les processeurs graphiques (GPU), forts d'architectures améliorées (e.g., ajout de cœurs dédiés à l'IA en 2017), sont devenus le système de prédilection pour de telles tâches. Concevoir des systèmes plus efficients pour l'IA n'est possible qu'avec une connaissance approfondie des limites des systèmes existants, où matériel et logiciel sont étroitement couplés. Mais l'abstraction d
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Garg, Anushka. "Comparing Machine Learning Algorithms and Feature Selection Techniques to Predict Undesired Behavior in Business Processesand Study of Auto ML Frameworks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285559.

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In recent years, the scope of Machine Learning algorithms and its techniques are taking up a notch in every industry (for example, recommendation systems, user behavior analytics, financial applications and many more). In practice, they play an important role in utilizing the power of the vast data we currently generate on a daily basis in our digital world.In this study, we present a comprehensive comparison of different supervised Machine Learning algorithms and feature selection techniques to build a best predictive model as an output. Thus, this predictive model helps companies predict unw
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Boualem, Abdel-Malek. "Ml-tasc : systeme de conversion de formalismes de langages techniques et scientifiques dans un environnement a syntaxe controlee et a contexte limite. traduction automatique multilingue." Nice, 1993. http://www.theses.fr/1993NICE4683.

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Entre les premieres approches de w. Weaver et a. D. Booth dans les annees quarante et les travaux pour la conception des systemes actuels, les techniques utilisees dans le domaine de la traduction automatique et la traduction assistee par ordinateur ont considerablement evolue. Si certains systemes de traduction semblent actuellement etre satisfaisants pour des langues a fort degre de ressemblance comme les langues europeennes, la representation, la saisie, l'edition et la traduction de langues appartenant a des familles differentes demeurent fondamentalement complexes. En outre, la plupart de
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PIROZZI, MICHELA. "Development of a simulation tool for measurements and analysis of simulated and real data to identify ADLs and behavioral trends through statistics techniques and ML algorithms." Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/272311.

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Con una popolazione di anziani in crescita, il numero di soggetti a rischio di patologia è in rapido aumento. Molti gruppi di ricerca stanno studiando soluzioni pervasive per monitorare continuamente e discretamente i soggetti fragili nelle loro case, riducendo i costi sanitari e supportando la diagnosi medica. Comportamenti anomali durante l'esecuzione di attività di vita quotidiana (ADL) o variazioni sulle tendenze comportamentali sono di grande importanza.<br>With a growing population of elderly people, the number of subjects at risk of pathology is rapidly increasing. Many research groups
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Liu, Siyang. "Efficient machine learning techniques for indoor localization in wireless communication systems." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPAST188.

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Avec le développement rapide de l'Internet des objets (IoT), le besoin de services de localisation en intérieur, tels que la gestion des actifs, la navigation et le suivi, a également augmenté au fil du temps. Pour la localisation indoor, les systèmes de navigation par satellite tels que le GPS ont un usage limité par l'absence de visibilité directe avec les satellites.Diverses solutions ont été proposées pour la localisation en intérieur, telles que la trilatération, la triangulation et la navigation à l'estime, mais leurs performances sont limitées par les conditions du canal intérieur, tell
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Abd, Alrahman Chadi. "Spectroscopie Laser avec des cavités résonantes de haute finesse couplées à un peigne de fréquences : ML-CEAS et vernier effet techniques. Applications à la mesure in situ de molécules réactives dans les domaines UV et visible." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENY095/document.

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La communauté de la chimie atmosphérique souffre d'un manque de mesures rapides, fiables résolues spatialement et temporellement pour un large éventail de molécules réactives (radicaux tels que NO2, OH, BrO, IO, etc). En raison de leur forte réactivité, ces molécules contrôlent largement la durée de vie et la concentration de nombreuses espèces clés dans l'atmosphère, et peuvent avoir un impact important sur le climat. Les concentrations de ces radicaux sont extrêmement faibles (ppbv ou moins) et très variable dans le temps et dans l'espace, ce qui impose un véritable défi lors de la détection
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Bossé, Mathieu. "La réalisation audionumérique DIY de groupes rock au Québec : pour une méthode de travail plus efficace." Master's thesis, Université Laval, 2019. http://hdl.handle.net/20.500.11794/36713.

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Dans ce mémoire, nous nous penchons sur les processus créatifs et techniques d’enregistrement sonore de type DIY (Do It Yourself) pratiqués dans mes expériences avec différents groupes rock, punk, hardcore et alternatif de Québec. Les styles musicaux varient grandement d’un projet à l’autre, mais trois aspects sont communs à chaque groupe : 1) Ils sont issus d’une scène «underground» de la Ville de Québec. 2) Ils ont une instrumentation rock (pour nous, une instrumentation rock est composée des instruments suivants : batterie, guitare électrique, guitare basse et voix). 3) Ils enregistrent de
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MASTRO, PIETRO. "Innovative Techniques for the Retrieval of Earth’s Surface and Atmosphere Geophysical Parameters: Spaceborne Infrared/Microwave Combined Analyses." Doctoral thesis, Università degli studi della Basilicata, 2023. https://hdl.handle.net/11563/162986.

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With the advent of the first satellites for Earth Observation: Landsat-1 in July 1972 and ERS-1 in May 1991, the discipline of environmental remote sensing has become, over time, increasingly fundamental for the study of phenomena characterizing the planet Earth. The goal of environmental remote sensing is to perform detailed analyses and to monitor the temporal evolution of different physical phenomena, exploiting the mechanisms of interaction between the objects that are present in an observed scene and the electromagnetic radiation detected by sensors, placed at a distance from the scene, o
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Abd, alrahman Chadi. "Spectroscopie Laser avec des cavités résonantes de haute finesse couplées à un peigne de fréquences : ML-CEAS et vernier effet techniques. Applications à la mesure in situ de molécules réactives dans les domaines UV et visible." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00849145.

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La communauté de la chimie atmosphérique souffre d'un manque de mesures rapides, fiables résolues spatialement et temporellement pour un large éventail de molécules réactives (radicaux tels que NO2, OH, BrO, IO, etc). En raison de leur forte réactivité, ces molécules contrôlent largement la durée de vie et la concentration de nombreuses espèces clés dans l'atmosphère, et peuvent avoir un impact important sur le climat. Les concentrations de ces radicaux sont extrêmement faibles (ppbv ou moins) et très variable dans le temps et dans l'espace, ce qui impose un véritable défi lors de la détection
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Gherman, Titus Constantin. "Ml-ceas : une nouvelle technique spectroscopique d'absorption de haute sensibilité à l'aide de laser à impulsions ultracourtes." Université Joseph Fourier (Grenoble), 2004. http://www.theses.fr/2004GRE10137.

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Le résultat principal de ce travail de thèse est le développement d'une nouvelle technique de sensibilité élevée appelée: Mode-Locked Cavity-Enhanced Absorption Spectroscopy (ML-CEAS), qui exploite de manière constructive les propriétés spectrales des lasers à blocage de modes et des cavités optiques. Nous démontrons que ML-CEAS peut être facilement étendue à la région bleu doublant en fréquence une source laser Ti-Sa. La sensibilité élevée de ML-CEAS est démontre par l'observation d'une transition harmonique très élevée de C2H2 à 420 nm (23813 cm-1), avec la limite de détection de 5 x 10-9 cm
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Books on the topic "ML TECHNIQUES"

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Appel, Andrew W. Modern compiler implementation in ML: Basic techniques. Cambridge University Press, 1997.

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Štuikys, Vytautas. Meta-Programming and Model-Driven Meta-Program Development: Principles, Processes and Techniques. Springer London, 2013.

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Appel, Andrew W. Modern compiler implementation in C: Basic techniques. Cambridge University Press, 1997.

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Metaprogramming And Modeldriven Metaprogram Development Principles Processes And Techniques. Springer, 2012.

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Nagel, Stefan. Machine Learning in Asset Pricing. Princeton University Press, 2021. http://dx.doi.org/10.23943/princeton/9780691218700.001.0001.

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Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. This book examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tool
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Bhattacharya, Aditya. Applied Machine Learning Explainability Techniques: Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More. Packt Publishing, Limited, 2022.

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Coveney, Peter V., and Shunzhou Wan. Molecular Dynamics: Probability and Uncertainty. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780198893479.001.0001.

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Abstract This book explores the intersection of molecular dynamics (MD) simulation with advanced probabilistic methodologies to address the inherent uncertainties in the approach. Beginning with a clear and comprehensible introduction to classical mechanics, the book transitions into the probabilistic formulation of MD, highlighting the importance of ergodic theory, kinetic theory, and unstable periodic orbits, concepts which are largely unknown to current practitioners within the domain. It discussed ensemble-based simulations, free energy calculations and the study of polymer nanocomposites
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Li Bassi, Gianluigi, and J. D. Marti. Chest physiotherapy and tracheobronchial suction in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0121.

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The airway lining fluid is a biphasic layer covering the respiratory tract epithelium. It has antimicrobial and immunomodulatory properties, and it is formed by a gel-phase (mucus), and a low-viscosity inner layer (sol-phase) that provides lubrication for ciliary beating. Mucus is continuously cleared from the airways through the ciliated epithelium and via the two-phase gas–liquid flow mechanism (i.e. coughing). Mucus production in healthy subjects is approximately 10–100 mL/day. Whereas, mucociliary clearance rates range between 4 and 20 mm/min. Critically-ill, mechanically-ventilated patien
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Kassem, Moulay Abdelmajid. QTL Mapping with Python and R/qtl: A Reproducible Pipeline for Crop Genetics. Atlas Publishing, LLC, 2025. https://doi.org/10.5147/books.ap1.

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QTL Mapping with Python and R/qtl: A Reproducible Pipeline for Crop Genetics presents a comprehensive and hands-on guide to identifying quantitative trait loci (QTL) in recombinant inbred line (RIL) populations using a reproducible workflow that bridges Python and R. Designed for researchers, students, and breeders, this resource walks readers through every stage of the QTL mapping process, from data preparation to advanced visualization and interpretation. The book begins with foundational concepts in QTL mapping and its importance in soybean breeding, using the well-characterized Forrest × W
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Orenbuch-Harroch, Efrat, and Charles L. Sprung. Pulmonary artery catheterization in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0133.

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Haemodynamic monitoring is a significant component in the management of critically-ill patients. Flow-directed pulmonary artery catheters (PAC) are a simple and rapid technique for measuring several continuous or intermittent circulatory variables. The PAC is helpful in diagnosis, guidance of therapy, and monitoring therapeutic interventions in various clinical conditions, including myocardial infarction and its complications, non-cardiogenic pulmonary oedema and severely ill patients.The catheter is inserted through a large vein. The PAC is advanced, after ballooninflation with 1.5 mL of air,
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Book chapters on the topic "ML TECHNIQUES"

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Adriaans, Pieter. "ML techniques and text analysis." In Machine Learning: ECML-93. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56602-3_164.

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Vashisht, Geetika, Ashish Kumar Jha, and Manisha Jailia. "Predicting Diabetes Using ML Classification Techniques." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5148-2_73.

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McAllester, David. "A Logical Algorithm for ML Type Inference." In Rewriting Techniques and Applications. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44881-0_31.

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Matthews, Brian. "MERILL: An equational reasoning system in standard ML." In Rewriting Techniques and Applications. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56868-9_34.

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Matthews, Brian. "MERILL: An equational reasoning system in standard ML." In Rewriting Techniques and Applications. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-21551-7_34.

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Gupta, Ishita, Chetna Mishra, Harshit Prakash Singh, Aniket Singh, Harsh Gautam, and Manoj Kumar Srivastava. "Phishing detection with ML: A performance evaluation." In Intelligent Computing and Communication Techniques. CRC Press, 2025. https://doi.org/10.1201/9781003530176-35.

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Deepa Shree, C. V., Jaaswin D. Kotian, Nidhi Gupta, Nikhil M. Adyapak, and U. Ananthanagu. "Predicting Code Runtime Complexity Using ML Techniques." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7622-5_26.

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Poudel, Khem, Movin Uddin, Revanth Kommu, Sadiat Muhammed, Nahid Hasan, and Sammi Hamdan. "HealthCare Text Analytics Using Recent ML Techniques." In Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33743-7_11.

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Bonkoungou, Samiratou, Nihar Ranjan Roy, Nomel Haymes Axel-Elie Junior Ako, and Alpna Mishra. "Credit Card Fraud Detection Using ML Techniques." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9811-1_2.

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Shah, Manan, Ameya Kshirsagar, and Jainam Panchal. "Midstream sector with ML models and techniques." In Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry. CRC Press, 2022. http://dx.doi.org/10.1201/9781003279532-4.

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Conference papers on the topic "ML TECHNIQUES"

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Kumar, Brajesh, Prateek Agrawal, Dipesh Uike, Melanie Lourens, Indira Bhati, and M. Chandrakumar Peter. "ML Techniques for Employee Performance Prediction." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910365.

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Dutta, Ananya, Aradhana Misra, Surajit Deka, Ridip Tukaria, and Kandarpa Kumar Sarma. "Radar-based Drone detection using ML techniques." In 2025 Devices for Integrated Circuit (DevIC). IEEE, 2025. https://doi.org/10.1109/devic63749.2025.11012342.

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Hassan, Jahid, Md Obaydullah Khan, Syed Udoy Ahmed, Nazmul Haque Anik, Md Shamim Reza, and Nur Elahi Sagor. "Comparative Analysis of ML Techniques for Predicting Diabetes." In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS). IEEE, 2024. https://doi.org/10.1109/compas60761.2024.10796026.

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Shyamala, Pachila, K. Deepa, and S. V. Tresa Sangeetha. "ML Techniques for Crop Demand Prediction- A Study." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2024. http://dx.doi.org/10.1109/ickecs61492.2024.10616730.

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Gaur, Sanskar, Jayant Mahajan, Manjari Sharma, Danish Hussain, Rakesh Kakani, and Anshul Saxena. "Precision Corn Price Prediction with Advanced ML Techniques." In 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). IEEE, 2024. http://dx.doi.org/10.1109/tqcebt59414.2024.10545288.

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Sawardekar, Sonali, Sonali Gavali, Aaditya Patil, Abhishek Sidnale, Hrushi Vahadane, and Mayuresh Dharmadhikari. "Smart Defenders: ML Techniques Powering Intrusion Detection Systems." In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE, 2025. https://doi.org/10.1109/icicacs65178.2025.10968313.

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Tiwari, Mohit, Aryan Kumar, and B. Bharathi. "Price Recommendation For E-Commerce Using ML Techniques." In 2024 Intelligent Systems and Machine Learning Conference (ISML). IEEE, 2024. https://doi.org/10.1109/isml60050.2024.11007352.

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Khan, Misbah, Arham Ahmad, and Mohammad Sarfraz. "L1 Regularization based Fetal Health Analysis Using ML Techniques." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724506.

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Zaidan, Doaa Talib, Mina Qahtan Mahmoud, A. A. Al Layith, et al. "Revenue Prediction for Integrated Renewable Energy Systems: ML Techniques." In 2024 International Conference on IoT, Communication and Automation Technology (ICICAT). IEEE, 2024. https://doi.org/10.1109/icicat62666.2024.10922977.

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Singh, Juhi, Prithvi Chaurasia, and Yash Karnawat. "Comparative Analysis of ML Techniques for Email Spam Detection." In 2025 International Conference on Computing and Communication Technologies (ICCCT). IEEE, 2025. https://doi.org/10.1109/iccct63501.2025.11019256.

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Reports on the topic "ML TECHNIQUES"

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Ehiabhi, Jolly, and Haifeng Wang. A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0003.

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Review question / Objective: A systematic review of Mental health diagnosis/prognoses of mental disorders using Machine Learning techniques with information from biometric signals. A review of the trend and status of these ML techniques in mental health diagnosis and an investigation of how these signals are used to help increase the efficiency of mental health disease diagnosis. Using Machine learning techniques to classify mental health diseases as against using only expert knowledge for diagnosis. Feature Extraction from signal gotten from biometric signals that help classify sleep disorder
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Faybishenko, Boris, Lavanya Ramakrishnan, Tom Powell, Bhavna Arora, John Wu, and Deb Agarwall. On AI Prediction of Hydrological Processes Based on Integration of Retrospective and Forecasting ML Techniques. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769756.

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Tummaruk, Padet, Kakanang Buranaamnuay, Wanpen Adulyanubap, Jinda Singlor, and Mongkol Techakumphu. Development of techniques for freezing boar semen. Chulalongkorn University, 2006. https://doi.org/10.58837/chula.res.2006.91.

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The objective of the present study was to investigate the feasibility of boar semen cryopreservation in Thailand and to investigate factors that could affect the boar semen quality after cryopreservation. Fifteen purebred boars (5 Landrace, 5 Yorkshire and 5 Duroc) from 2 commercial herds in Nakorn-prathom province were used in the experiment. Three ejaculates from each boar were collected with over one-week interval using gloved-hand technique. After collection, the semen was diluted with isothermal Beltsville thawing solution (BTS) extender. Diluted semen was held at 15 °C for 2 h and centri
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Chaffa, Lucien, Martin Trépanier, and Thierry Warin. Beyond PPML: Exploring Machine Learning Alternatives for Gravity Model Estimation in International Trade. CIRANO, 2025. https://doi.org/10.54932/bfky4995.

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This study investigates the potential of machine learning (ML) methods to enhance the estimation of the gravity model, a cornerstone of international trade analysis that explains trade flows based on economic size and distance. Traditionally estimated using methods such as the Poisson Pseudo Maximum Likelihood (PPML) approach, gravity models often struggle to fully capture nonlinear relationships and intricate interactions among variables. Leveraging data from Canada and the US, one of the largest bilateral trading relationships in the world, this paper conducts a comparative analysis of tradi
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Niles, Kenneth, Emily Leathers, Joe Tom, et al. Leveraging artificial intelligence and machine learning (AI/ML) for levee culvert Inspections in USACE Flood Control Systems (FCS). Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49210.

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Levee inspections are essential in preventing flooding within populated regions. Risk assessments of structures are performed to identify potential failure modes to maintain the safety and health of the structure. The data collection and defect coding parts of the inspection process can be labor-intensive and time-consuming. The integration of machine learning (ML) and artificial intelligence (AI) techniques may increase accuracy of assessments and reduce time and cost. To develop a foundation for a fully autonomous inspection process, this research investigates methods to gather information f
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Ogunbire, Abimbola, Panick Kalambay, Hardik Gajera, and Srinivas Pulugurtha. Deep Learning, Machine Learning, or Statistical Models for Weather-related Crash Severity Prediction. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2320.

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Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incidents each year. Assessments of the effectiveness of statistical models applied to crash severity prediction compared to machine learning (ML) and deep learning techniques (DL) help researchers and practitioners know what models are most effective under specific conditions. Given the class imbalance in crash data, the synthetic minority over-sampling technique for nominal (SMOTE-N) data was employed to generate synthetic samples for the minority class. The ordered logit model (OLM) and the ordered p
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Cook, Samantha, Matthew Bigl, Sandra LeGrand, Nicholas Webb, Gayle Tyree, and Ronald Treminio. Landform identification in the Chihuahuan Desert for dust source characterization applications : developing a landform reference data set. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45644.

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ERDC-Geo is a surface erodibility parameterization developed to improve dust predictions in weather forecasting models. Geomorphic landform maps used in ERDC-Geo link surface dust emission potential to landform type. Using a previously generated southwest United States landform map as training data, a classification model based on machine learning (ML) was established to generate ERDC-Geo input data. To evaluate the ability of the ML model to accurately classify landforms, an independent reference landform data set was created for areas in the Chihuahuan Desert. The reference landform data set
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Clausen, Jay, Vuong Truong, Sophia Bragdon, et al. Buried-object-detection improvements incorporating environmental phenomenology into signature physics. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45625.

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The ability to detect buried objects is critical for the Army. Therefore, this report summarizes the fourth year of an ongoing study to assess environ-mental phenomenological conditions affecting probability of detection and false alarm rates for buried-object detection using thermal infrared sensors. This study used several different approaches to identify the predominant environmental variables affecting object detection: (1) multilevel statistical modeling, (2) direct image analysis, (3) physics-based thermal modeling, and (4) application of machine learning (ML) techniques. In addition, th
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Weeks, Melvyn. Machine Learning for Prediction and Causal Inference. Instats Inc., 2022. http://dx.doi.org/10.61700/u0qw7udtxd5iz469.

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This seminar explores machine learning techniques for prediction and causal inference, where a researcher or decision maker needs to make a prediction or understand the impact of an intervention in a heterogenous population. For example, researchers may want to infer the effect of an economic, educational, or public health intervention, or a firm may seek to understand how a change in pricing will impact aggregate demand. In these cases, the interest may be in an average effect, but also how the effect varies over different segments of the population (i.e., heterogeneity in the effect). This s
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Weeks, Melvyn. Machine Learning for Prediction and Causal Inference. Instats Inc., 2022. http://dx.doi.org/10.61700/r1qb0f2baf6jj469.

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This seminar explores machine learning techniques for prediction and causal inference, where a researcher or decision maker needs to make a prediction or understand the impact of an intervention in a heterogenous population. For example, researchers may want to infer the effect of an economic, educational, or public health intervention, or a firm may seek to understand how a change in pricing will impact aggregate demand. In these cases, the interest may be in an average effect, but also how the effect varies over different segments of the population (i.e., heterogeneity in the effect). This s
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