Performance of invariants of gravity gradient tensor in matching navigation: A case study in South China Sea by Xiaoyun Wan, Ming Li, Panpan Chen, Faisal Hussain

“…Choosing appropriate background field data is crucial for gravity field matching navigation. Current research mainly uses gravity anomaly data or gravity gradient data as background fields. …”
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Inversion of multiphase tectonic stress field and fracture evolution in shale gas reservoirs by WANG Jiawei, ZHANG Bohu, HU Yao, HE Zhengyi, HU Xinxin, CHEN Wei, LUO Chao

“…The research indicates that numerical simulation methods and neural network algorithms effectively invert the crustal stress field across multiple stages. …”
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Cause of death in people living with HIV who initiated antiretroviral therapy after enrolling to the Thai National AIDS Program from 2008 to 2021Research in context by Cheewanan Lertpiriyasuwat, Stephen J. Kerr, Sairat Noknoy, Patiphak Namahoot, Niramon Punsuwan, Tanakorn Apornpong, Jiratchaya Sophonphan, Napon Hiranburana, Ploenchan Chetchotisakd, Opass Putcharoen, Kiat Ruxrungtham, Anchalee Avihingsanon

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Polar Code BP Decoding Optimization for Green 6G Satellite Communication: A Geometry Perspective by Chuanji Zhu, Yuanzhi He, Zheng Dou

“…Therefore, research on efficient early termination algorithms has become an important direction in polar code research. …”
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A fuzzy-optimized hybrid ensemble model for yield prediction in maize-soybean intercropping system by Amna Ikram, Sunnia Ikram, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy, Adil Hussain, Amal H. Alharbi, Marwa M. Eid, Marwa M. Eid

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Particle Swarm Optimization Based Optimal Design of Six-Phase Induction Motor for Electric Propulsion of Submarines by Lelisa Wogi, Amruth Thelkar, Tesfabirhan Shoga Tahiro, Tadele Ayana, Shabana Urooj, Samia Larguech

“…This research presented a comparison of optimal model design of a six phase squirrel cage induction motor (IM) for electric propulsion by using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). …”
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MODELING STRENGTH PROPERTIES OF PRODUCTS OF ADDITIVE TECHNOLOGIES USING PARALLEL COMPUTING by A. N. Privalov, Y. I. Bogatyryova

“…This raises the problem of developing a mathematical, algorithmic and software apparatus for modeling the characteristics of products made from such materials.…”
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Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…Results The ensemble ML models exhibited robust predictive performance, and light gradient boosting outperformed the other ensemble ML algorithms by 95.3%. The explainability of the Light Gradient Boosting Ensemble Model was determined using Eli5 and LIME. …”
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Design of Morlet wavelet neural networks integrated with sequential quadratic programming to analyze the dynamics of Ebola virus disease by Asifa Ashraf, Abaid Ur Rehman Virk, Umar Ishtiaq, Ahmed Samy Mohamed Elwahsh, Ioan-Lucian Popa

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On the problems of monitoring the shadow economy by E. V. Baturina

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Computer-Aided Supporting Models of Customized Crack Propagation Sensors for Analysis and Prototyping by Paulina Kurnyta-Mazurek, Rafał Wrąbel, Artur Kurnyta

“…This approach allows for taking advantage of individual software environments, which allows for expanding the scope of analyses and using the developed models and applications in further research activities.…”
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A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M... by Abhijeet Das

“…To tackle this issue, we developed a new tool that harnesses optimization models, enhancing the reliability and accuracy of water quality assessments. Our research in Mahanadi River Basin, Odisha, presents an enhanced methodology based on data, specifically designed to be beneficial for Water Quality (WQ) based on Synthetic Pollution Index (SPI) and machine learning models such as Long Short-Term Memory (LSTM) and Sparrow Search Algorithm (SSA), for its analysis and interpretation of extensive, intricate data sets on water quality, as well as the allocation of pollution sources or contributing elements, in order to improve knowledge of the water quality and the planning of monitoring networks for efficient water resource management. …”
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Cluster-Based Flight Path Construction for Drone-Assisted Pear Pollination Using RGB-D Image Processing by Arata Kuwahara, Tomotaka Kimura, Sota Okubo, Rion Yoshioka, Keita Endo, Hiroyuki Shimizu, Tomohito Shimada, Chisa Suzuki, Yoshihiro Takemura, Takefumi Hiraguri

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DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

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Characteristics of Eddy Dissipation Rates in Atmosphere Boundary Layer Using Doppler Lidar by Yufei Chu, Guo Lin, Min Deng, Zhien Wang

“…Building upon prior research utilizing Doppler lidar wind-field data, we optimized the EDR retrieval algorithm using a genetic adaptive approach. …”
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Multiple Regression Analysis and Non-Dominated Sorting Genetic Algorithm II Optimization of Machining Carbon-Fiber-Reinforced Polyethylene Terephthalate Glycol Parts Fabricated via... by Anastasios Tzotzis, Nikolaos Efkolidis, Kai Cheng, Panagiotis Kyratsis

“…The present research deals with the processing of the additively manufactured Carbon-Fiber-Reinforced Polymer (CFRP) under dry and lubricated cutting conditions, focusing on the generated surface roughness. …”
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Statistical Inference for Two Lomax Populations Under Balanced Joint Progressive Type-II Censoring Scheme by Yuanqi Wang, Jinchen Xiang, Wenhao Gui

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Complex Approach to Evaluating Quality of Medical Care in Pediatrics by A. A. Baranov, L. S. Namazova-Baranova, E. A. Vishnyova

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Detecting Short-Notice Cancellation in Hotels with Machine Learning by Eleazar C-Sánchez, Agustín J. Sánchez-Medina

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Subjective Evaluation of Three Headphone-Based Virtual Sound Source Positioning Methods Including Differential Head-Related Transfer Function by Dominik STOREK, Frantisek RUND, Petr MARSALEK

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