Unobtrusive human activity classification based on combined time‐range and time‐frequency domain signatures using ultrawideband radar by Mohamad Mostafa, Somayyeh Chamaani

“…The ensemble bagged tree and fine K‐nearest neighbour methods showed the best performance. The results show that the two‐stage classification was more accurate than the one‐stage. …”
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A Mobile-Beacon-Assisted Sensor Network Localization Based on RSS and Connectivity Observations by Guodong Teng, Kougen Zheng, Ge Yu

“…Comparing the performance with three typical range-free localization methods in static WSNs, our lightweight MRC algorithm with limited computation and storage overhead is more suitable for very low-computing power sensor nodes that can efficiently outperform better with only basic arithmetic operations in the simulation and physical environments.…”
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A Fast Prediction Model of Supercritical Airfoils Based on Deep Operator Network and Variational Autoencoder Considering Physical Constraints by Mengxin Liu, Yunjia Yang, Chenyu Wu, Yufei Zhang

“…Computational fluid dynamics (CFD) methods usually require a considerable amount of computational resources and time. …”
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Specific Learning Difficulties in Younger School-Aged Children by Sasa Stepanovic, Vladimir Ilic

“…In this master's thesis, we will attempt to determine the importance of timely diagnosis and treatment of children who have problems with reading, writing, calculation, and speech, in order to address these issues as quickly and efficiently as possible from a professional standpoint, thus contributing to the children's success in mastering school material. …”
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Interleaving between Ant Colony Optimization and Tabu Search for Image Matching by Ghusoon Basheer

“…Different non – traditional   methods are  used for solving this kind of  problem. …”
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Prevalence and Species Identifications of Camel Ixodid Ticks in Habru District, North Wollo Zone, Northeast Ethiopia by Tsedalu Yirsa, Yidersal Tizazu, Abebe Berihun, Asres Zegeye

“…ABSTRACT Background Ticks are among the most prevalent ectoparasites and carriers of important infectious diseases in animals and people worldwide, particularly in tropical and subtropical regions. Methods A cross‐sectional study from December 2023 to April 2024 sought to determine the incidence and species of camel ixodid ticks in the Habru district. …”
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Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications by Jaekwon Kim, Hyo-Sang Lim, Kwanghoon Choi

“…Recently, neural network-based approaches have shown promise over traditional symbolic methods, offering fixed complexity in inference and suitability for hardware implementation. …”
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Surgical Non-Regenerative Treatments for Peri-Implantitis: a Systematic Review by Ausra Ramanauskaite, Povilas Daugela, Ricardo Faria e Almeida, Nikola Saulacic

“…Surgical non-regenerative methods were found to be efficient in reducing clinical parameters. …”
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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…However, traditional experimental methods for determining these properties, particularly the solution gas–oil ratio (Rs), are time-intensive and costly. …”
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Machine learning approach for prediction of safe mud window based on geochemical drilling log data by Hongchen Cai, Yunliang Yu, Yingchun Liu, Xiangwei Gao

“…Traditional geomechanical methods for SMW determination face challenges in handling complex, nonlinear relationships within drilling datasets.PurposeThis study aims to develop robust machine learning (ML) models to predict two key SMW parameters—Mud Pressure below shear failure (MWsf) and tensile failure (MWtf)—using geochemical drilling log data from Middle Eastern carbonate reservoirs.MethodsHybrid ML models combining Least Squares Support Vector Machine (LSSVM) and Multilayer Perceptron (MLP) with optimization algorithms (Gray Wolf Optimization, GWO; Grasshopper Optimization Algorithm, GOA) were trained on 2,820 data points from three wells. …”
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Harnessing AI and Quantum Computing for Revolutionizing Drug Discovery and Approval Processes: Case Example for Collagen Toxicity by David Melvin Braga, Bharat Rawal

“…Regulatory processes may become more streamlined, using adaptive clinical trials, accelerating pathways, and better integrating digital data to reduce the time and cost of bringing new drugs to market. Computational data methods could be used to reduce the cost and time involved in experimental drug discovery, allowing researchers to simulate biological interactions and screen large compound libraries more efficiently. …”
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A Decision Making Approach for Logistics Village Selection Based on AHP-TOPSIS by Sezin Güleryüz, Şebnem Coşmuş

“…The aim of this study is to determine their rankings according to the most suitable alternative by comparing the Çandarlı, Filyos, and Iyidere logistics villages, which are in the respective provinces of İzmir, Zonguldak, and Rize and are in the planning stage, using the analytic hierarchy process (AHP) and technique for order preference by similarity to the ideal situation (TOPSIS) methods. …”
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Practical insights for ECa-based soil mapping: Case studies in croplands and vineyards by Camilla De Feudis, Chiara Ferré, Roberto Comolli

“…This work aims to develop an efficient approach to mapping soil properties using proximal geophysical methods, minimizing the number of soil sampling points required for the site-specific calibration of the soil parameter estimation models.Ten experimental fields in northern Italy were surveyed using geoelectric and electromagnetic induction methods to obtain maps of soil apparent electrical conductivity (ECa). …”
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Comparing the effects of smartphone-based and face-to-face education on the quality of life and coping skills among patients with multiple sclerosis: A randomized controlled trial by Elahe Baharian, Shahla Abolhassani, Arash Najimi, Fereshteh Ashtari

“…The use of mobile health technology to enhance health is now an excellent potential to establish a more efficient health system. The purpose of this study was to determine the effect of a self-care program using two smartphone-based education and F2F education on the QOL and coping skills of people with MS. …”
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Comprehensive Review of Lithium-Ion Battery State of Charge Estimation by Sliding Mode Observers by Vahid Behnamgol, Mohammad Asadi, Mohamed A. A. Mohamed, Sumeet S. Aphale, Mona Faraji Niri

“…Battery management systems rely on SoC estimation, utilising both hardware and software components to maintain safe and efficient battery operation. Existing SoC estimation methods are broadly classified into direct and indirect approaches. …”
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Revisiting sylvian fissure dissection - A preliminary investigation into surgical process modelling for evaluating surgical proficiency by Félix Buyck, Jef Vandemeulebroucke, Ine Dirks, Jan Frederick Cornelius, Johnny Duerinck, Sebastien Froelich, Henry Schroeder, Wietse Geens, Frederick Van Gestel, Michaël Bruneau

“…Introduction: Understanding the factors that contribute to efficient surgical behaviour and the prevention of technical errors poses a significant challenge in neurosurgery. …”
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Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical, and well log data by Abu Bakker Siddique, Tanveer Alam Munshi, Nazmul Islam Rakin, Mahamudul Hashan, Sushmita Sarker Chnapa, Labiba Nusrat Jahan

“…Abstract Accurate determination of pore pressure is critical in the design of wells, determining a safe range of mud properties, and estimating the required mud weight to ensure wellbore stability. …”
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Deep Learning-Based Object Detection Strategies for Disease Detection and Localization in Chest X-Ray Images by Yi-Ching Cheng, Yi-Chieh Hung, Guan-Hua Huang, Tai-Been Chen, Nan-Han Lu, Kuo-Ying Liu, Kuo-Hsuan Lin

“…Methods: We developed and tested our models using disease-labeled CXR images and location-bounding boxes from E-Da Hospital. …”
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Natural deep eutectic solvents and natural solid biosorbents in microextraction techniques of organic compounds based on chromatographic techniques: A critical review by Eduardo Carasek, Lucas Morés, Natan da Cunha, Guilherme Leal Branco, Adriana Neves Dias

“…Applications discussed in this review focus on the determination of organic compounds in environmental, food, and biological samples, utilizing chromatographic methods. …”
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Graph-Driven Deep Reinforcement Learning for Vehicle Routing Problems with Pickup and Delivery by Dapeng Yan, Qingshu Guan, Bei Ou, Bowen Yan, Hui Cao

“…The single-head attention decoder then applies a computationally efficient compatibility layer to sequentially determine the next node to visit. …”
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