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Artykuły w czasopismach na temat "And Industry Forecast 2023-2027"
SAVCHENKO-BELSKII, K. A., E. I. MANTAEVA i A. A. MANTSAEVA. "ESTABLISHMENT OF A TOURIST AND RECREATIONAL CLUSTER IN THE REGION: REASONABILITY AND FORECAST". Scientific Works of the Free Economic Society of Russia 239, nr 1 (24.05.2023): 180–202. http://dx.doi.org/10.38197/2072-2060-2023-239-1-180-202.
Pełny tekst źródłaHOSSEN, Sayed Mohibul, Mohd Tahir ISMAIL i Mosab I. TABASH. "THE IMPACT OF SEASONALITY IN TEMPERATURE FORECAST ON TOURIST ARRIVALS IN BANGLADESH: AN EMPIRICAL EVIDENCE". GeoJournal of Tourism and Geosites 34, nr 1 (31.03.2021): 20–27. http://dx.doi.org/10.30892/gtg.34103-614.
Pełny tekst źródłaXU, QIAN, HUA CHENG i YABIN YU. "Analysis and forecast of textile industry technology innovation capability in China". Industria Textila 72, nr 02 (22.04.2021): 191–97. http://dx.doi.org/10.35530/it.072.02.1759.
Pełny tekst źródłaGajdzik, Bożena. "Post-Pandemic Steel Production Scenarios for Poland Based on Forecasts of Annual Steel Production Volume". Management Systems in Production Engineering 31, nr 2 (3.05.2023): 172–90. http://dx.doi.org/10.2478/mspe-2023-0019.
Pełny tekst źródłaDuanaputri, Rohmanita, Sulistyowati Sulistyowati i Putra Aulia Insani. "Analisis peramalan kebutuhan energi listrik sektor industri di Jawa Timur dengan metode regresi linear". JURNAL ELTEK 20, nr 2 (28.10.2022): 50. http://dx.doi.org/10.33795/eltek.v20i2.352.
Pełny tekst źródłaS. Milovanov, Svyatoslav. "Clinical Trials Trends of 2023 Year and Visionary to the Future". International Journal of Clinical Investigation and Case Reports 02, nr 01 (2023): 13–19. http://dx.doi.org/10.55828/ijcicr-21-04.
Pełny tekst źródłaRubtsova, Natalia. "Microfinance in the Russian Federation: Changes in Industry Indicators in the Context of Global Challenges". Baikal Research Journal 15, nr 1 (30.03.2024): 13–24. http://dx.doi.org/10.17150/2411-6262.2024.15(1).13-24.
Pełny tekst źródłaZhang, Bowen. "Analysis of Bilibili's Competitive Strategy in the New Trends". BCP Business & Management 34 (14.12.2022): 849–55. http://dx.doi.org/10.54691/bcpbm.v34i.3104.
Pełny tekst źródłaTahir, Saad, i Asher Ramish. "Xarasoft (Pvt) Ltd – vision 2027 to implement a digital supply chain for industry 4.0". Emerald Emerging Markets Case Studies 12, nr 1 (15.02.2022): 1–22. http://dx.doi.org/10.1108/eemcs-05-2021-0180.
Pełny tekst źródłaLópez, Gustavo Rosal. "SS62-02 REFLECTIONS ON THE USE OF EXOSKELETONS IN THE HEALTHCARE SECTOR". Occupational Medicine 74, Supplement_1 (1.07.2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.0361.
Pełny tekst źródłaCzęści książek na temat "And Industry Forecast 2023-2027"
Akanmu, Abiola, Adedeji Afolabi i Akinwale Okunola. "Predicting Mental Workload of Using Exoskeletons for Construction Work: A Deep Learning Approach". W CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality, 691–700. Florence: Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.69.
Pełny tekst źródłaAkanmu, Abiola, Adedeji Afolabi i Akinwale Okunola. "Predicting Mental Workload of Using Exoskeletons for Construction Work: A Deep Learning Approach". W CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality, 691–700. Florence: Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.69.
Pełny tekst źródłaHeineken-van Dooren, Marierose M. M., i Roy Lindelauf. "Leveraging Data Science for Defence in the Digital Age: Defence AI in the Netherlands". W Contributions to Security and Defence Studies, 217–35. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-58649-1_10.
Pełny tekst źródłaKathirvel, A. "Applications of Serverless Computing". W Advances in Systems Analysis, Software Engineering, and High Performance Computing, 221–33. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1682-5.ch014.
Pełny tekst źródłaChen, Rurong, Cai Jing, Fu Yingjie i Wei Ziji. "Comprehensive analysis and forecast of Chinese NEV industry development from 2012 to 2025". W Foresight in Research : Case studies on future issues and methods, 105–28. Budapesti Gazdasági Egyetem, 2023. http://dx.doi.org/10.29180/9786156342560_6.
Pełny tekst źródłaKraus, Kateryna, i Nataliia Kraus. "FORECAST OF CAPITAL INVESTMENTS IN THE INDUSTRY OF UKRAINE AND THE PROSPECTS OF POST-WAR RECOVERY OF THE NATIONAL ECONOMY ON THE BASIS OF DIGITAL DEVELOPMENT OF ENTREPRENEURSHIP". W GLOBAL DIGITAL TRENDS AND THEIR IMPACT ON NATIONAL ECONOMIC PROGRESS. OKTAN PRINT, 2024. http://dx.doi.org/10.46489/gdtatione-05-24-29.
Pełny tekst źródłaChowdhury, Sonali. "LIVING IN THE WORLD OF INTELLIGENT VIRTUAL ASSISTANTS – SKY IS THE LIMIT". W Futuristic Trends in Management Volume 3 Book 17, 50–54. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bhma17p1ch7.
Pełny tekst źródłaGnylianska, Lesia, i Lesia Sai. "THE ROLE AND FUNCTIONS OF THE SALES DEPARTMENT IN THE DEVELOPMENT OF SALES ACTIVITIES OF IT ENTERPRISES IN EXTREME CONDITIONS". W GLOBAL DIGITAL TRENDS AND THEIR IMPACT ON NATIONAL ECONOMIC PROGRESS. OKTAN PRINT, 2024. http://dx.doi.org/10.46489/gdtatione-05-24-09.
Pełny tekst źródłaStreszczenia konferencji na temat "And Industry Forecast 2023-2027"
Kamble, Torana, Madhuri Ghuge, Ronit Rana, Harsh Vardhan, Yash Shelar i Tushar Machale. "Ensemble Machine Learning Models to Forecast Sales". W 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). IEEE, 2023. http://dx.doi.org/10.1109/icimia60377.2023.10426565.
Pełny tekst źródłaOlonichev, Vasiliy, Boris Staroverov i Sergey Tarasov. "The Holographic and Perceptron Neuron Networks Joint Application for the Dynamic Systems Behavior Forecast". W 2023 International Russian Smart Industry Conference (SmartIndustryCon). IEEE, 2023. http://dx.doi.org/10.1109/smartindustrycon57312.2023.10110729.
Pełny tekst źródłaZhou, Rong, i JiangXue Di. "Energy Demand Forecast of Hubei Logistics Industry Based on RBF Neural Network". W Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China. EAI, 2023. http://dx.doi.org/10.4108/eai.26-5-2023.2334201.
Pełny tekst źródłaDiMarco, Steven Francis, Scott M. Glenn, Benjamin Jaimes de la Cruz, Rosalinda Monreal Jiménez, Anthony Hayden Knap, Yonggang Liu, Bruce Magnell i in. "Applications of Adaptive Sampling Strategies of Autonomous Vehicles, Drifters, Floats, and HF-Radar, to Improve Loop Current System Dynamics Forecasts in the Deepwater Gulf of Mexico". W Offshore Technology Conference. OTC, 2023. http://dx.doi.org/10.4043/32459-ms.
Pełny tekst źródłaBrodetsky, G. L., V. D. Gerami, D. A. Gusev i A. Yu Zimin. "PROBLEMS OF BALANCE OF EFFICIENCY METRICS OF IMPLEMENTING STRATEGIES FOR DIGITAL TRANSFORMATION OF TRANSPORT AND MANUFACTURING INDUSTRY". W Digital transformation in industry: trends, management, strategies. Institute of Economics of the Ural Brach of Russian Academy of Sciences, 2023. http://dx.doi.org/10.17059/dti-2023-2.
Pełny tekst źródłaNetzell, Pontus, Hussain Kazmi i Konstantinos Kyprianidis. "Applied Machine Learning for Short-Term Electric Load Forecasting in Cities - A Case Study of Eskilstuna, Sweden". W 64th International Conference of Scandinavian Simulation Society, SIMS 2023 Västerås, Sweden, September 25-28, 2023. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp200005.
Pełny tekst źródłaMayer, Jan, i Roland Jochem. "Quality forecasts in manufacturing using autoregressive models". W Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002848.
Pełny tekst źródłaMusora, T., Z. Chazuka, A. Jaison, J. Mapurisa i J. Kamusha. "Sales Forecasting of Perishable Products: A Case Study of a Perishable Orange Drink". W 10th International Conference on Computer Networks & Communications (CCNET 2023). Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130408.
Pełny tekst źródłaCandido, Sílvio, Mohammad-Reza Pendar i José Carlos Páscoa. "Improving Efficiency of Automotive Coating and Curing Processes Through Deep Learning Algorithms and High-Fidelity CFD Modeling". W ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-112373.
Pełny tekst źródłaLuniya, Tanmay, i Geetha Chimata. "Extending the Life of Classic Cars, the Additive Manufacturing Way". W ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70355.
Pełny tekst źródłaRaporty organizacyjne na temat "And Industry Forecast 2023-2027"
O'Connor, Jack, Magdalena Mirwald, Christina Widjaja, Architesh Panda, Jessica Pinheiro i Soenke Kreft. Technical Report: Uninsurable future. United Nations University - Institute for Environment and Human Security (UNU-EHS), październik 2023. http://dx.doi.org/10.53324/yodt6712.
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