Academic literature on the topic 'Multirepo'

Abstrak Penelitian ini membahas optimasi proses pemesinan wire-EDM multirespon karakteristik menggunakan metode Taguchi dan logika fuzzy. Multirespon yang digunakan pada penelitian ini adalah recast layer dan surface roughness dimana masing-masing mempunyai karakteristik kualitas semakin kecil semakin baik. Pada percobaan ini dilakukan dengan memvariasikan enam parameter proses, yaitu on time, open voltage, off time, servo voltage, wire feed, dan water flow. Karena setiap parameter proses tersebut memiliki tiga level, maka rancangan percobaan yang digunakan adalah matriks orthogonal array L27. Untuk mengoptimasi kedua karakteristik dari kedua respon digunakan logika fuzzy. Hasil penelitian menunjukkan bahwa karakteristik dari kedua respon tersebut mengalami peningkatan secara efektif dengan metode ini. Parameter proses pemesinan yang secaara signifikan mempengaruhi recast layer dan surface roughness adalah on time, open voltage dan wire feed.Kata kunci: wire-EDM, Taguchi, logika fuzzy, recast layer, surface roughness

Manufacturing science focuses on understanding problems from the perspective of the stakeholders involved and then applying manufacturing science as needed. We investigate semi-orthogonal frame wavelets and Parseval frame wavelets in with a dilation factor. We show that every affine subspace is the orthogonal direct sum of at most three purely non-reducing subspaces. This result is obtained through considering the basicquestion as to when the orthogonal complement of an afffine subspace in another one is still affine subspace.The definition of multiple pseudofames for subspaces with integer translation is proposed. The notion of a generalized multiresolution structure of is also introduced. The construction of a generalized multireso-lution structure of Paley-Wiener subspaces of is investigated.

The aim of this study was to analyse the work of the MultiRAEPro gas detector in terms of its application in monitoring odour emissions from biogas plants processing municipal waste constituting part of a mechanical–biological waste treatment plant. The obtained results provided the basis for formulating conclusions concerning the use of a gas detector in monitoring odour emissions from biogas plants processing municipal waste. The study results can be applied in practice in biogas plants processing municipal waste as well as in other municipal facilities.

Materials science is an interdisciplinary field applying the properties of matter to various areas of science and engineering.. In this work, the notion of the quarternary generalized multiresol- ution structure (TGMS) of subspace is proposed. The characteristics of quarternary affine pseudoframes for subspaces is investigated. Construction of a GMS of Paley-Wiener subspace of is studied. The pyramid decomposition scheme is obtained based on such a TGMS and a sufficient condition for its existence is provided. A constructive method for affine frames of based on a TGMS is established.

This article presents a typology of armed robbers in Montreal, the result of a study of 39 authors of armed robbery. After a brief outline of the theoretical and methodological model used in this study, each type of armed robber is presented as follows : 1) the multireci-divist who is characterized by a large number of armed robberies, 2) the professional whose criminal activity is planned and organized, 3) the intensive robber who commits armed robberies for a very short period of time and 4) the occasional robber who commits very few armed robberies but many other crimes.

Frames have become the focus of active research, both in theory and in applications. In the article, the notion of bivariate minimum-energy wavelet frames is introduced. A precise existence criterion for minimum-energy frames in terms of an inequality condition on the Laurent polynomial symbols of the filter functions is provided. An explicit formula for designing minimum-energy frames is also establish- ed. The sufficient condition for the existence of a class of affine pseudoframes with filter banks is obtained by virtue of a generalized multiresolution analysis. The pyramid decomposition scheme is established based on such a generalized multiresol- -ution structure.

Multirepo model přístupu ke správě a verzování zdrojového kódu, jež zahrnuje použití mnoha oddělených repozitářů verzovacích systémů, je poslední dobou často zmiňován v odborné literatuře. Jednou z jeho nevýhod je množství zdlouhavých, nezajímavých a repetitivních úkonů, které je nutno provádět při hromadných operacích tvořících transakce napříč těmito repozitáři. Multirepo repozitáře navíc umožňují využití široké škály technologií, což jen umocňuje riziko lidské chyby, ke které při ručně prováděných hromadných operacích může dojít. V rámci této práce je navrženo, implementováno a otestováno řešení pro automatizaci operací prováděných napříč množstvím repozitářů uspořádaných v multirepo modelu, což s nimi uživatelům zlepšuje zkušenost.

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Este trabalho avalia o Mutirão Nacional de Cirurgia de Catarata realizado pelo Sistema Único de Saúde SUS no que se refere à redução da demanda reprimida de cirurgias de catarata. Avaliou-se, ainda, a evolução dos serviços que realizaram cirurgias de catarata em todo o país.Os dados utilizados foram provenientes do Sistema de Informação Ambulatorial - SIA/SUS e do Sistema de Informação Hospitalar SIH/SUS. Analisaram-se todas as cirurgias de catarata realizadas pelo SUS no Brasil entre os anos de 1998 e 2003. Calcularam-se a taxa de cirurgia de catarata por 1000 habitantes com 50 anos e mais para as Unidades Federativas, e a cobertura de procedimentos necessários para o país, utilizando-se parâmetros identificados na literatura especializada. O programa de mutirão de cirurgias de catarata proporcionou um aumento no número de cirurgias deste tipo em todo o país, resultando na redução da demanda reprimida existente no Brasil, o que favoreceu o cumprimento da meta nacional de realização de cirurgias de catarata em 2002. Com base nos parâmetros empregados, em 2003 a cobertura de cirurgia de catarata, no país como um todo, havia ultrapassado 100 por cento. Cobertura acima de 100 por cento pode indicar ocorrência de cirurgias desnecessárias. No entanto, é possível que ainda exista demanda reprimida em Unidades Federativas e Municípios que não foram estudados devido à carência de parâmetros confiáveis para análise. A estratégia de mutirão nacional de catarata mostrou-se adequada para reduzir, em curto espaço de tempo, a fila de espera por cirurgia, tendo cumprido os objetivos de sua implementação. A inexistência de demanda reprimida indica que o programa pode ser encerrado, mas recomenda-se a implantação simultânea de novas estratégias de atenção à saúde ocular para atendimento de novos casos que necessitam de cirurgia. O encerramento do programa, no entanto, deve ser precedido de avaliação tanto da existência de demanda reprimida como da produção de cirurgias de catarata desnecessárias, no âmbito dos estados e municípios. O tamanho populacional e as diferenças estruturais para realização do mutirão são fatores de interferência na redução da demanda reprimida ou do excesso de produção no âmbito local. Cabe destacar também que os cálculos de cobertura não consideraram a produção financiada pelo setor privado, o que resulta em coberturas sub-estimadas,com variação entre as áreas na dependência do tamanho do Setor de Saúde Suplementar em cada local.

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Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES)
O uso de agrot?xicos t?m trazido enormes benef?cios em termos de aumento da produ??o e qualidade dos produtos agr?colas. Contudo, o uso indiscriminado dos agrot?xicos representa um risco para sa?de humana, sendo a ingest?o de alimentos uma das principais formas de exposi??o a essas subst?ncias t?xicas. Neste trabalho, foi desenvolvido e validado um m?todo anal?tico para determina??o multiresidual de 10 carbamatos (aldicarbe, aldicarbe sulf?xido, aldicarbe sulfona, carbaril, carbofurano, 3-hidroxicarbofurano, metiocarbe, metomil, oxamyl e propoxur) em piment?es comercializados na cidade de Natal/ RN. O desenvolvimento do m?todo consistiu na extra??o em fase s?lida manual seguida de an?lise por Cromatografia L?quida de Alta Efici?ncia acoplada com detector de arranjo de fotodiodos para a regi?o do UV-Vis?vel. Na valida??o foi avaliada a sensibilidade, linearidade, precis?o, exatid?o, limite de detec??o, limite de quantifica??o e robustez. As curvas anal?ticas apresentaram linearidade entre 0,1 e 1,1 mg L-1 para o aldicarbe sulfona, propoxur, carbaril e 3-hidroxicarbofurano, entre 0,1 e 0,9 mg L-1 para o carbofurano e entre 0,3 e 1,1 mg L-1 para o aldicarbe sulf?xido, oxamyl, metomil, aldicarbe e metiocarbe. Os coeficientes de correla??o variaram entre 0,9599 e 0,9939. O limite de detec??o (LD) ficou entre 0,0216 e 0,1319 mg L-1 e o limite de quantifica??o (LQ) entre 0,0719 e 0,4395. O m?todo tamb?m apresentou boa precis?o, com todos os valores de desvio padr?o relativos inferiores a 20%. A extra??o que apresentou melhor resultado foi a que n?o continha carv?o ativado, mas tinha a presen?a do tamp?o de ?cido ac?tico. Foi poss?vel recuperar o aldicarbe sulf?xido, 74,8%, oxamyl, 110,0%, metomil, 150,0%, e aldicarbe, 55,0%.
The use of agrochemicals have brought enormous benefits in terms of increasing production and quality of agricultural products. However, the indiscriminate use of agrochemicals represents a risk to human health, being the food intake one of the main forms of exposure to these toxic substances. An analytical method for the determination of 10 carbamates (aldicarb, aldicarb sulfoxide, aldicarb sulfone, carbaryl, carbofuran, 3-hydroxycarbbofuran, methiocarb, methomyl, oxamyl and propoxur) was developed and validated in green chillies sold in the city of Natal / RN. The development of the method consisted of manual Solid Phase Extraction followed by High Performance Liquid Chromatography coupled with photodiode arrangement detector for the UV-Visible region. In the validation the sensitivity, linearity, precision, accuracy, detection limit, quantification limit and robustness were evaluated. The analytical curves showed linearity between 0.1 and 1.1 mg L-1 for aldicarb sulfone, propoxur, carbaryl and 3-hydroxycarbofuran, between 0.1 and 0.9 mg L-1 for carbofuran and between 0.3 and 1.1 mg L-1 for the aldicarb sulfoxide, oxamyl, methomyl, aldicarb and methiocarb. The correlation coefficients ranged from 0.9599 to 0.9939. The detection limit (DL) was between 0.0216 and 0.1319 mg L-1 and the quantification limit (LQ) was between 0.0719 and 0.4395. The method also showed good accuracy, with all relative standard deviation values lower than 20%. The extraction that presented the best result was the one that did not contain activated carbon, but had the presence of the acetic acid buffer. It was possible to recover aldicarb sulfoxide, 74.8%, oxamyl, 110.0%, methomyl, 151.0%, and aldicarb, 55.0%

Orientadores: Carlos Roberto Espindola, Maristela Simões de Carmo
Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Geociencias
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Resumo: O Movimento Mutirão Agroflorestal começou em 1996, a partir do contato com as idéias inovadoras do agricultor/experimentador Ernst Götsch, e sempre foi um movimento espontâneo, com livre participação de todos os interessados. O grupo possui organização e dinâmica próprias, e desde o início se propôs a trabalhar de forma auto-gestionária. É formado por profissionais das áreas de ciências agrárias, biológicas, exatas e humanas, estudantes (graduação e pós-graduação), agricultores e técnicos extensionistas, que se reúnem em propriedades rurais para aprender a fazer agrofloresta na prática e de forma coletiva. Hoje, onze anos depois, conta com um acúmulo de experiências em implantação e manejo de agroflorestas, bem como no desenvolvimento de metodologias de ensinoaprendizagem em agrofloresta e percepção ambiental. Os principais objetivos deste trabalho foram resgatar a história e trajetória do Movimento Mutirão Agroflorestal, dando ênfase ao processo de formação em agrofloresta, e avaliar as contribuições do Mutirão para a formação pessoal e profissional de seus participantes. As metodologias utilizadas foram a sistematização da experiência do Movimento Mutirão Agroflorestal, por meio do resgate e análise dos materiais de registros do grupo, e a avaliação das contribuições e impactos do Mutirão sobre seus participantes, por meio de um questionário que foi veiculado via internet, para ampliar o alcance da pesquisa. O enfoque principal desse trabalho é a análise do processo de formação em agrofloresta sucessional vivenciado pelo grupo, considerando os aprendizados adquiridos em técnicas e práticas agroflorestais e em métodos pedagógicos de aprendizagem. Os resultados observados levam a conclusão de que o Mutirão é muito importante para a formação pessoal e profissional de seus participantes, e que o aprendizado transcende as técnicas agroflorestais, promovendo uma transformação pessoal profunda, favorecendo uma mudança de paradigma. Dessa forma, o Mutirão contribui para a construção de uma sociedade mais justa e sustentável.
Abstract: The Movimento Mutirão Agroflorestal (MMA) began in 1996, from the contact with the new ideas of the agriculturist/researcher Ernst Götsch. Its has always been an spontaneous movement, as all interested people may participate freely. The group has its own organization and dynamic, and since the beginning it has the proposal of working in a self-management way. It's composed by professionals of agrarian, biologics, exacts and humans sciences, students (graduation and post-graduation), agriculturist and technicist. The group meets at farms, where they learn about agroforestry systems in practice and collective way. Today, eleven years after its beginning, it counts on a large experience of implantation and conduction of agroforestry system, as well as teaching-learning methodologies development and environmental perception. The main purposes of this work were to rescue the history and path of Movimento Mutirão Agroflorestal, emphasizing the education process on agroforestry systems; and to evaluate the contribution of Mutirão on personal and professional formation of its members. The methodologies in use were the systematization of MMA experience, through rescue and analysis of documents of the group. The contribution and impact of MMA over its members were evaluated by a questionnaire that was sent through internet, enlarging, this way, the scope of the research. The main approach of this work is the analysis of the education process in agroforestry system experienced by the group, considering agroforestry techniques and practices learning, as well as teaching methods learning. Observing the results, the conclusion is that the MMA is very important for personal and professional formation of its members, and the learning experienced by them transcends agroforestry techniques, providing a deep personal transformation, promoting a paradigm change. MMA contributes, in this way, to the construction of a more just and sustainable society.
Mestrado
Análise Ambiental e Dinâmica Territorial
Mestre em Geografia

BTX biodegradation rates, biochemical expression patterns and microbial ecology were studied under anoxic (denitrifying), anoxic/microaerobic/aerobic, and anoxic/microaerobic conditions in activated sludge sequencing batch reactors. The studies showed that toluene and m-xylene were denitrified via benzoyl-CoA reductase. Although benzene, o-, and p-xylene were recalcitrant under denitrifying conditions, they were biodegraded under microaerobic (< 0.2 mg/L dissolved oxygen) and nitrate or nitrite (NOx)-supplemented microaerobic conditions. The patterns of the specific enzymes associated with BTX biodegradation under microaerobic conditions indicated that the three compounds were metabolized by oxygen-dependent pathways. The expression levels of catechol 1, 2-dioxygenase and catechol 2, 3-dioxygenase under microaerobic conditions were induced to levels as high as under aerobic conditions (> 4 mg/L dissolved oxygen). Benzene, o-, and p-xylene biodegradation rates were twice as fast under NOx-supplemented compared to NOx-free microaerobic conditions, and the specific biodegradation rates under aerobic and NOx-supplemented microaerobic conditions were comparable. 16S rRNA probes targeting representative toluene-degraders were used to investigate the microbial communities in the three sequencing batch reactors by using a dot blot hybridization technique. The hybridization results suggest that multiple redox environments fostered a more diverse microbial community and the activities of the target organisms in the reactors with multiple redox environments were higher than in the single redox reactor. Additionally, facultative toluene-degraders appeared to play a less significant role than the strict anoxic and aerobic toluene-degraders in all three SBRs.
Ph. D.

El Perú se encuentra en una posición económica estable, con una tendencia de crecimiento del PBI superior al 4% anual, en el 2017 las calificadoras de riesgo soberano coincidieron en otorgar la calificación de BBB+ (S&P), A3 (Moodys), BBB+ (Fitch), por la reducción de vulnerabilidad a los choques externos económicos, estabilidad (coherencia política) y jurídica, todo ello contribuye a un escenario favorable para el crecimiento de las inversiones. (MEF, 2017) Es en este escenario, la importancia de considerar la participación de las micro y pequeñas empresas (MYPE) como eje fundamental generador de empleo, con más del 80% de la fuerza laboral ocupada del país permitiendo así la redistribución del ingreso a los sectores medios y de bajos ingresos; fomentando el desarrollo económico de la nación (cerca del 25% del PBI esta sostenido por las MYPE), teniendo en cuenta lo valioso de la actuación de las MYPE en la economía nacional se hace necesario elaborar e implementar políticas de financiamiento (con tasas de interés competitivas, bajas en costo, y flexibles para su adquisición), que contribuyan a su crecimiento y desarrollo; considerando al banco de la nación como socio estratégico participe de este fin. Bajo este orden de ideas en el presente trabajo sustentaremos la propuesta para un Nuevo Instrumento Financiero denominado “Préstamo Multired – Micro y Pequeñas Empresas”, que sin duda permitirá el crecimiento económico en términos de rentabilidad y el valor de marca del Banco de la Nación, en el mercado financiero peruano bajo el enfoque del Benchmarking.
Peru is in a stable economic position, with tendencies to GDP growth of more than 4% per year. In 2017, the sovereign risk rating agencies coincided in granting the rating of BBB + (S & P), A3 (Moody’s), BBB + (Fitch), by the reduction of vulnerability to external economic shocks, stability (political coherence) and legal, all this contributes to a favorable scenario for the growth of investments. (MEF, 2017) It is in this scenario, the importance of considering the participation of medium and small enterprises as a fundamental axis that generates employment, with more than 80% of the labor force, the redistribution of income to the middle and low income sectors; promoting the economic development of the nation (close to 25% of GDP is supported by medium and small companies), taking into account the value of the meditation of medium and small enterprises in the national economy. Financing, which contribute to its growth and development; Subject to the nation's bank as a strategic partner. Under this order of ideas in this paper we will support the proposal for a New Financial Instrument called "Multiple Loan - Medium and Small Companies", which will undoubtedly allow economic growth in terms of profitability and the brand value of nation bank, in the Peruvian financial market under the Benchmarking approach.
Tesis

Durant dècades s'ha observat i monitoritzat sistemàticament la Terra i el seu entorn des de l'espai o a partir de plataformes aerotransportades. Paral·lelament, s'ha tractat d'extreure el màxim d'informació qualitativa i quantitativa de les observacions realitzades. Les tècniques de fusió de dades donen un "ventall de procediments que ens permeten aprofitar les dades heterogènies obtingudes per diferents mitjans i instruments i integrar-les de manera que el resultat final sigui qualitativament superior". En aquesta tesi s'han desenvolupat noves tècniques que es poden aplicar a l'anàlisi de dades multiespectrals que provenen de sensors remots, adreçades a aplicacions oceanogràfiques. Bàsicament s'han treballat dos aspectes: les tècniques d'enregistrament o alineament d'imatges; i la interpolació de dades esparses i multiescalars, focalitzant els resultats als camps vectorials bidimensionals.

En moltes aplicacions que utilitzen imatges derivades de satèl·lits és necessari mesclar o comparar imatges adquirides per diferents sensors, o bé comparar les dades d'un sòl sensor en diferents instants de temps, per exemple en: reconeixement, seguiment i classificació de patrons o en la monitorització mediambiental. Aquestes aplicacions necessiten una etapa prèvia d'enregistrament geomètric, que alinea els píxels d'una imatge, la imatge de treball, amb els píxels corresponents d'una altra imatge, la imatge de referència, de manera que estiguin referides a uns mateixos punts. En aquest treball es proposa una aproximació automàtica a l'enregistrament geomètric d'imatges amb els contorns de les imatges; a partir d'un mètode robust, vàlid per a imatges mutimodals, que a més poden estar afectades de distorsions, rotacions i de, fins i tot, oclusions severes. En síntesi, s'obté una correspondència punt a punt de la imatge de treball amb el mapa de referència, fent servir tècniques de processament multiresolució. El mètode fa servir les mesures de correlació creuada de les transformades wavelet de les seqüències que codifiquen els contorns de la línia de costa. Un cop s'estableix la correspondència punt a punt, es calculen els coeficients de la transformació global i finalment es poden aplicar a la imatge de treball per a enregistrar-la respecte la referència.

A la tesi també es prova de resoldre la interpolació d'un camp vectorial espars mostrejat irregularment. Es proposa un algorisme que permet aproximar els valors intermitjos entre les mostres irregulars si es disposa de valors esparsos a escales de menys resolució. El procediment és òptim si tenim un model que caracteritzi l'esquema multiresolució de descomposició i reconstrucció del conjunt de dades. Es basa en la transformada wavelet discreta diàdica i en la seva inversa, realitzades a partir d'uns bancs de filtres d'anàlisi i síntesi. Encara que el problema està mal condicionat i té infinites solucions, la nostra aproximació, que primer treballarem amb senyals d'una dimensió, dóna una estratègia senzilla per a interpolar els valors d'un camp vectorial bidimensional, utilitzant tota la informació disponible a diferents resolucions. Aquest mètode de reconstrucció es pot utilitzar com a extensió de qualsevol interpolació inicial. També pot ser un mètode adequat si es disposa d'un conjunt de mesures esparses de diferents instruments que prenen dades d'una mateixa escena a diferents resolucions, sense cap restricció en les característiques de la distribució de mesures. Inicialment cal un model dels filtres d'anàlisi que generen les dades multiresolució i els filtres de síntesi corresponents, però aquest requeriment es pot relaxar parcialment, i és suficient tenir una aproximació raonable a la part passa baixes dels filtres. Els resultats de la tesi es podrien implementar fàcilment en el flux de processament d'una estació receptora de satèl·lits, i així es contribuiria a la millora d'aplicacions que utilitzessin tècniques de fusió de dades per a monitoritzar paràmetres mediambientals.
During the last decades a systematic survey of the Earth environment has been set up from many spatial and airborne platforms. At present, there is a continuous effort to extract and combine the maximum of quantitative information from these different data sets, often rather heterogeneous. Data fusion can be defined as "a set of means and tools for the alliance of data originating from different sources with the aims of a greater quality result". In this thesis we have developed new techniques and schemes that can be applied on multispectral data obtained from remote sensors, with particular interest in oceanographic applications. They are based on image and signal processing. We have worked mainly on two topics: image registration techniques or image alignment; and data interpolation of multiscale and sparse data sets, with focus on two dimensional vector fields.

In many applications using satellite images, and specifically in those related to oceanographic studies, it is necessary to merge or compare multiple images of the same scene acquired from different captors or from one captor but at different times. Typical applications include pattern classification, recognition and tracking, multisensor data fusion and environmental monitoring. Image registration is the process of aligning the remotely sensed images to the same ground truth and transforming them into a known geographic projection (map coordinates). This step is crucial to correctly merge complementary information from multisensor data. The proposed approach to automatic image registration is a robust method, valid for multimodal images affected by distortions, rotations and, to a reasonably extend, with severe data occlusion. We derived a point to point matching of one image to a georeferenced map applying multiresolution signal processing techniques. The method is based on the contours of images: it uses a maximum cross correlation measure on the biorthogonal undecimated discrete wavelet transforms of the codified coastline contours sequences. Once this point to point correspondence is established, the coefficients of a global transform could be calculated and finally applied on the working image to register it to the georeferenced map.

The second topic of this thesis focus on the interpolation of sparse irregularly-sampled vector fields when these sparse data belong to different resolutions. It is proposed a new algorithm to iteratively approximate the intermediate values between irregularly sampled data when a set of sparse values at coarser scales is known. The procedure is optimal if there is a characterized model for the multiresolution decomposition / reconstruction scheme of the dataset. The scheme is based on a fast dyadic wavelet transform and on its inversion using a filter bank analysis/synthesis implementation for the wavelet transform model. Although the problem is ill-posed, and there are infinite solutions, our approach, firstly worked for one dimension signals, gives an easy strategy to interpolate the values of a vector field using all the information available at different scales. This reconstruction method could be used as an extension on any initial interpolation. It can also be suitable in cases where there are sparse measures from different instruments that are sensing the same scene simultaneously at several resolutions, without any restriction to the characteristics of the data distribution. Initially a filter model for the generation of multiresolution data and their synthesis counterpart is the main requisite but; this assumption can be partially relaxed with the only requirement of a reasonable approximation to the low pass counterpart. The thesis results can be easily implemented on the process stream of any satellite receiving station and therefore constitute a first contribution to potential applications on data fusion of environmental monitoring.

Abstract Accurate delineation of salt bodies is essential for the characterization of hydrocarbon accumulation and seal efficiency in offshore reservoirs. The interpretation of these subsurface features is heavily dependent on visual picking. This in turn could introduce systematic bias into the task of salt body interpretation. In this study, we introduce a novel machine learning approach of a deep neural network to mimic an experienced geophysical interpreter's intellect in interpreting salt bodies. Here, the benefits of using machine learning are demonstrated by implementing the MultiResU-Net network. The network is an improved form of the classic U-Net. It presents two key architectural improvements. First, it replaces the simple convolutional layers with inception-like blocks with varying kernel sizes to reconcile the spatial features learned from different seismic image contexts. Second, it incorporates residual convolutional layers along the skip connections between the downsampling and the upsampling paths. This aims at compensating for the disparity between the lower-level features coming from the early stages of the downsampling path and the much higher-level features coming from the upsampling path. From the primary results using the TGS Salt Identification Challenge dataset, the MultiResU-Net outperformed the classic U-Net in identifying salt bodies and showed good agreement with the ground truth. Additionally, in the case of complex salt body geometries, the MultiResU-Net predictions exhibited some intriguing differences with the ground truth interpretation. Although the network validation accuracy is about 95%, some of these occasional discrepancies between the neural network predictions and the ground truth highlighted the subjectivity of the manual interpretation. Consequently, this raises the need to incorporate these neural networks that are prone to random perturbations to QC manual geophysical interpretation. To bridge the gap between the human interpretation and the machine learning predictions, we propose a closed-loop-machine-learning workflow that aims at optimizing the training dataset by incorporating both the consistency of the neural network and the intellect of an experienced geophysical interpreter.