Optimizing Secure and Efficient Data Aggregation in IoMT Using NSGA-II by Maria Zuraiz, Muhammad Javed, Nasim Abbas, Waseem Abbass, Waqas Nawaz, Ashfaq Hussain Farooqi

“…The framework is further validated through dual-environment simulations (MATLAB and NS-3) under realistic attack conditions (Sybil, spoofing, and DoS), demonstrating superior performance and robustness compared to centralized and fog-only baselines. For instance, the system achieves up to 43% energy savings and 84% latency reduction. …”
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TreePseCo: Scaling Individual Tree Crown Segmentation using Large Vision Models by J. Lungo Vaschetti, E. Arnaudo, C. Rossi

“…Our approach shows strength in detecting trees in densely clustered formations and identifying smaller tree instances, areas where existing methods often struggle. …”
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Applications of Machine Learning in Human Factors and Ergonomics: A Comprehensive Review of Research From the Past Decade by Erman Cakit, Waldemar Karwowski

“…Performance benchmarks from these studies indicate classification accuracies ranging from 83% to 97.4% for tasks such as posture recognition, MWLA, and fatigue detection. For instance, ANN models for Electroencephalography (EEG)-based MWLA achieved up to 94% accuracy, while SVM classifiers reached up to 97.94% in posture classification. …”
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Six Sigma-Based Frequency Response Analysis for Power Transformer Winding Deformation by Bonginkosi A. Thango

“…The FRA6σ approach successfully identified early-stage faults across all cases. In one instance, axial and radial winding deformation was detected with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula> of 1.0 and corresponding range chart violations, preceding any visible damage. …”
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Discrepancies in Mineral Oil Confirmation by Two-Dimensional Gas Chromatography–Mass Spectrometry: A Call for Harmonization by José Fernando Huertas-Pérez, Cristina Cruz-Hernández, Antonio Núñez-Galindo, Mathieu Dubois, Loïc Perring, Adrienne Tarres, Julie Nicolay, Céline Vocat, Thierry Delatour

“…However, as regards confirmatory results, discrepancies were observed among some laboratories in terms of the detection of MOH markers at low levels and the interpretation of GCxGC-ToF information. …”
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Computational modeling of superparamagnetic nanoparticle-based (affinity) diagnostics by Loïc Van Dieren, Loïc Van Dieren, Loïc Van Dieren, Loïc Van Dieren, Loïc Van Dieren, Antoine A. Ruzette, Vlad Tereshenko, Haïzam Oubari, Haïzam Oubari, Haïzam Oubari, Yanis Berkane, Yanis Berkane, Jonathan Cornacchini, Jonathan Cornacchini, Filip Thiessen EF, Filip Thiessen EF, Filip Thiessen EF, Filip Thiessen EF, Curtis L. Cetrulo, Curtis L. Cetrulo, Curtis L. Cetrulo, Curtis L. Cetrulo, Korkut Uygun, Korkut Uygun, Alexandre G. Lellouch, Alexandre G. Lellouch, Alexandre G. Lellouch, Alexandre G. Lellouch, Alexandre G. Lellouch, Alexandre G. Lellouch

“…Rheological parameters, including blood viscosity and flow rates, were factored into the model using a non-Newtonian fluid approach.ResultsThe amount of MNPs required for detection varies significantly based on the sensitivity of the detection equipment and the size of the nanoparticles themselves. …”
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Small earthquake location via machine learning with insufficient data by Ji Zhang, Aitaro Kato, Huiyu Zhu, Jie Zhang

“…Overcoming this challenge and improving the detection and location of these small seismic events is crucial. …”
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Suggestions on early psychosis: towards a new psychopathology? by Pietro Pellegrini, Emanuela Leuci, Clara Pellegrini, Simona Pupo, Lorenzo Pelizza

“…The term EP immediately recalls its clinical antecedents and prodromal symptoms, leading us back to the early detection and identification of the “At-Risk Mental States” (ARMSs) of psychosis. …”
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Automated grading of oleaster fruit using deep learning by Aram Azadpour, Kaveh Mollazade, Mohsen Ramezani, Hadi Samimi-Akhijahani

“…Experimental results indicated that, with a 100% detection rate and an average instance segmentation accuracy error ranging from 4.17 to 5.79%, the Mask R-CNN algorithm is capable of accurately segmenting all classes of oleaster at all the examined grading velocity levels. …”
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Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status by Shubhangi Mahato, Hanqing Bi, Suresh Neethirajan, Suresh Neethirajan

“…Dairy DigiD leverages Detectron2’s multi-task architecture, using instance segmentation and keypoint detection across 30 anatomical landmarks (eyes, ears, muzzle) to refine facial localization and improve classification robustness. …”
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Light Management in 2D Perovskite Toward High-Performance Optoelectronic Applications by Kailian Dong, Tao Jiang, Guoyi Chen, Hongsen Cui, Shuxin Wang, Shun Zhou, Chen Wang, Yi Yang, Fang Yao, Chen Tao, Weijun Ke, Guojia Fang

“…The synthesis of surface-patterned BDAPbBr4 microplates with high crystalline quality demonstrates the first reported instance of growing such 2D DJ-type perovskite microplates. …”
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Bridge Geometric Shape Measurement Using LiDAR–Camera Fusion Mapping and Learning-Based Segmentation Method by Shang Jiang, Yifan Yang, Siyang Gu, Jiahui Li, Yingyan Hou

“…The main contributions include the following: (1) A synchronized LiDAR–camera fusion system integrated with an unmanned aerial vehicle (UAV) and a microprocessor was developed, enabling the flexible and large-scale acquisition of bridge images and point clouds; (2) A multi-sensor fusion mapping method coupling visual-inertial odometry (VIO) and Li-DAR-inertial odometry (LIO) was implemented to construct 3D bridge point clouds in real time robustly; and (3) An instance segmentation network-based approach was proposed to detect key structural components in images, with detected geometric shapes projected from image coordinates to 3D space using LiDAR–camera calibration parameters, addressing challenges in automated large-scale point cloud analysis. …”
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HIV-associated neurocognitive disorders in Africa: challenges, peculiarities, and future directions by Tobi Olajide, Evelyn Ogungbemi, Gideon Olajide, Deborah Ogundijo, Oluwanifemi Osakuade, Favour Moshood

“…Enhancing awareness, education, and capacity- building initiatives can improve early detection and management of neurocognitive disorders among individuals living with HIV. …”
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Statistical Analysis of Climate Change Effects on Cropping Patterns in Golestan Province: A 25-Year Study by Mohanna Javanmardi, Maryam Mohammad Rezaei, Mozhgan Yarahmadi, Abbas Rahdan

“…Statistical detection is a method to reveal significant changes that cannot be attributed to natural variations. …”
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A large-scale open image dataset for deep learning-enabled intelligent sorting and analyzing of raw coal by Ziqi Lv, Yuhan Fan, Te Sha, Yao Cui, Yuxin Wu, Haimei Lv, Meijie Sun, Yanan Tu, Zhiqiang Xu, Weidong Wang

“…These images are annotated at multiple levels, targeting three primary categories: coal, gangue, and foreign objects, and are designed for three core computer vision tasks: image classification, object detection, and instance segmentation. Comprehensive evaluation results indicate that the DsCGF can effectively support further research into the intelligent sorting of raw coal.…”
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Optimizing Security of Radio Frequency Identification Systems in Assistive Devices: A Novel Unidirectional Systolic Design for Dickson-Based Field Multiplier by Atef Ibrahim, Fayez Gebali

“…The method of implementing field multiplication operation significantly influences the system’s resilience against side-channel attacks; for instance, implementation using unidirectional systolic array structures can provide enhanced error detection capabilities, improving resistance to side-channel attacks compared to traditional bidirectional multipliers. …”
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Joint Tomek Links (JTL): An Innovative Approach to Noise Reduction for Enhanced Classification Performance by Goksu Tuysuzoglu, Yunus Dogan, Elife Ozturk Kiyak, Mustafa Ersahin, Bita Ghasemkhani, Kokten Ulas Birant, Derya Birant

“…Mathematical methods are crucial in tackling this obstacle, particularly in optimizing noise detection and data preprocessing. This study proposes a novel approach&#x2014;Joint Tomek Links (JTL)&#x2014; to identify and eliminate noisy instances by detecting pairs of nearest neighbors from different classes. …”
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Myxoid Liposarcoma of the Thigh in Early Puerperium—Rare Case Report and Narrative Review by Tomasz Machałowski, Piotr Gutowski, Edyta Zagrodnik, Aleksandra Godlewska, Katarzyna Śmieja, Oliwia Kawałek, Anna Grzymała-Figura, Sylwester Michał Ciećwież, Katarzyna Gross-Kępińska, Małgorzata Szczuko, Maciej Ziętek

“…Proper treatment and early detection could improve disease outcomes.…”
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Unsustainable anthropogenic mortality threatens the long-term viability of lion populations in Mozambique. by João Almeida, Willem D Briers-Louw, Agostinho Jorge, Colleen Begg, Marnus Roodbol, Hans Bauer, Andrew Loveridge, Matthew Wijers, Rob Slotow, Peter Lindsey, Kristoffer Everatt, Holly Rosier, Sean Nazerali, Lizanne Roxburgh, Hugo Pereira, Mercia da Conceicao, Armindo Araman, Osvaldo J Abrao, Alison J Leslie, Franziska Steinbruch, Vincent N Naude, Samantha K Nicholson

“…Using national population estimates and monitoring records, we performed forward simulation population viability modelling incorporating detection-dependent population trends and varying scales of anthropogenic mortality. …”
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Bit Error Rate Analysis of Underwater Photon-counting Communication System based on Joint Channel by Lü Jingjing, SHI Qing, WANG Bingjie, LIU Li

“…【Objective】Underwater Photon Counting Wireless Communication (UPCC) is capable of achieving weak signal detection. It can effectively mitigate the impact of optical signal attenuation induced by complex underwater environments and extend the communication range. …”
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