CogTrack: A Proof of Concept for Cognition Tracker by Yesoda Bhargava, Kanthi Kumar Kattupalli, Veeky Baths

“…The advantages and limitations of CogTrack are discussed in the context of available mobile applications, devices, and tools that measure cognitive performance. …”
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Research on the High Stability of an Adaptive Controller Based on a Neural Network for an Electrolysis-Free-Capacitor Motor Drive System by Danyang Bao, Haorui Shen, Wenxiang Ding, Hao Yuan, Yingying Guo, Zhendong Song, Tao Gong

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A Smartphone Is Not Enough: Telehealth Attendance and the Digital Divide by James Labadorf, Matthew Nichols, Tayana Williams, Celina Cunanan, Brian D'Anza

“…Conclusions This study highlights the clinical repercussions of the digital divide, as patients relying on a mobile phone and data plan to attend telehealth visits were more likely to no‐show. …”
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STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS by Jayakrishnan Anandakrishnan, Venkatesan Meenkaski Sundaram, Prabhavathy Paneer

“…Recent advancements in multisensor data fusion techniques have focused on integrating optical data with auxiliary synthetic aperture radar (SAR) data to mitigate misclassification issues. …”
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Examining the nexus of infrastructure development and economic growth: Evidence from SAARC countries by Vinay Khandelwal, Varun Chotia, Prashant Sharma, Swati Soni, Sushil Kalyani

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Integration of metaheuristic based feature selection with ensemble representation learning models for privacy aware cyberattack detection in IoT environments by M. Karthikeyan, R. Brindha, Maria Manuel Vianny, V. Vaitheeshwaran, Mrinal Bachute, Sanket Mishra, Bibhuti Bhusan Dash

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FWFA: Fairness-Weighted Federated Aggregation for Privacy-Aware Decision Intelligence by Rahul Haripriya, Nilay Khare, Manish Pandey, Shrijal Patel, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma

“…As machine learning (ML) and artificial intelligence (AI) increasingly influence such decisions, promoting responsible AI that minimizes bias while preserving data privacy has become essential. However, existing fairness-aware models are often centralized or ill-equipped to handle non-IID data, limiting their real-world applicability. …”
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Pixel 5 Versus Pixel 9 Pro XL—Are Android Devices Evolving Towards Better GNSS Performance? by Julián Tomaštík, Jorge Hernández Olcina, Šimon Saloň, Daniel Tunák

“…Generally, a shift from research to user-ready applications is needed.…”
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Justifying the selection of a neural network linguistic classifier by Olessia Barkovska, Kseniia Voropaieva, Oleksandr Ruskikh

“…This highlights LSTM's ability to effectively adapt to diverse data types and consistently maintain high accuracy, even with substantial data volumes. …”
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OS-RFODG: Open-source ROS2 framework for outdoor UAV dataset generation by Imen Jarraya, Mohamed Abdelkader, Khaled Gabr, Muhammad Bilal Kadri, Fatimah Alahmed, Wadii Boulila, Anis Koubaa

“…Accurate localization is critical for Unmanned Aerial Vehicles (UAVs) in applications such as military operations, search and rescue, and environmental monitoring. …”
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Hybrid Deep Learning-Based Enhanced Occlusion Segmentation in PICU Patient Monitoring by Mario Francisco Munoz, Hoang Vu Huy, Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

“…<italic>Goal:</italic> In this study, we propose a hybrid approach to effectively segment common occlusions encountered in remote monitoring applications within PICUs. Our approach centers on creating a deep-learning pipeline for limited training data scenarios. …”
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An adaptive search mechanism with convolutional learning networks for online social media text summarization and classification model by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Hassan Alkhiri, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

“…Furthermore, automatic text summarization has many applications and spheres of impact. This manuscript proposes an Adaptive Search Mechanism Based Hierarchical Learning Networks for Social Media Data Summarization and Classification Model (ASMHLN-SMDSCM) technique. …”
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運用心率變化評估焦慮：以幼兒說謊為例 Recognizing Young Children’s Anxiety While Lying: Utilizing Heart Rate Data From a Smart Bracelet by 邱淑惠 Shuhui Chiu, 莊胡祖德 Tsu-Te Chuang Hu

“…This study aims to propose practical applications such as using a smart bracelet with alert settings for children with emotional regulation difficulties. …”
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Justifying the selection of a neural network linguistic classifier by Олеся Барковська, Ксенія Воропаєва, Олександр Руських

“…This highlights LSTM's ability to effectively adapt to diverse data types and consistently maintain high accuracy, even with substantial data volumes. …”
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YOLO-MMCE algorithm for visual detection of engineering vehicles in high-consequence area by Huimei SUN, Lu LIU, Degang WANG, Taiyong WANG

“…Methods The Mosaic + Mixup combined data augmentation approach was adopted to improve the model's adaptability to diverse scenarios and strengthen its robustness and generalization in intricate real-world settings and ambiguous conditions. …”
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Serum 25-hydroxyvitamin D levels and risk of overall and site-specific cancers in Korean adults: results from two prospective cohort studies by Sihan Song, Hae Dong Woo, Jieun Lyu, Bo Mi Song, Joong-Yeon Lim, Hyun-Young Park

“…Clinical trial number Not applicable.…”
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A Handheld IoT Vis/NIR Spectroscopic System to Assess the Soluble Solids Content of Wine Grapes by Xu Zhang, Ziquan Qin, Ruijie Zhao, Zhuojun Xie, Xuebing Bai

“…The data can be sent in real time to the cloud configuration, where it can be backed up and visualized. …”
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Fine-scale retrieval of leaf chlorophyll content using a semi-empirically accelerated 3D radiative transfer model by Xun Zhao, Jianbo Qi, Jingyi Jiang, Shangbo Liu, Haifeng Xu, Simei Lin, Zhexiu Yu, Linyuan Li, Huaguo Huang

“…In this study, we used a semi-empirically accelerated 3D RTM, termed Semi-LESS, with a 1D residual network to accurately retrieve leaf chlorophyll content (LCC) from UAV images and LiDAR data at a 3-m resolution. We first reconstructed structures of forest plots using UAV LiDAR point cloud, based on which, UAV images with varying leaf and soil optical properties are simulated using the Semi-LESS. …”
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Correction: Kumar et al. A Novel Decentralized Blockchain Architecture for the Preservation of Privacy and Data Security Against Cyberattacks in Healthcare. <i>Sensors</i> 2022, <i... by Ajitesh Kumar, Akhilesh Kumar Singh, Ijaz Ahmad, Pradeep Kumar Singh, Anushree, Pawan Kumar Verma, Khalid A. Alissa, Mohit Bajaj, Ateeq Ur Rehman, Elsayed Tag-Eldin

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Investigating amygdala nuclei volumes in military personnel with post-traumatic stress disorder, major depressive disorder, and adjustment disorder: A retrospective cross-sectional... by Thiemo Knaust, Dagmar Tarnogorski, Matthias B D Siebler, Philipp Skiberowski, Christian Moritz, Helge Höllmer, Holger Schulz

“…Abnormalities in these amygdala nuclei are implicated in PTSD and may distinguish it from other disorders like MDD and AdjD, where these mechanisms are less central. …”
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