Assessing the Health of Akamkpa Forest Reserves in Southeastern Part of Nigeria Using Remote Sensing Techniques by Elijah S. Ebinne, Ojima I. Apeh, Raphael I. Ndukwu, Edebo J. Abah

“…The greenness of vegetation is one of the essential factors used in evaluating the health of forest reserves. This study is aimed at assessing the health of fifteen forest reserves in Southeastern part of Nigeria using meteorological data and MOD13A1-derived Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). …”
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Retracted: Design of LoRa Antenna for Wearable Medical Applications by Amer Alsaraira, Omar A. Saraereh, Ashraf Ali, Samer Alabed

“…The antenna is modelled in single-layer human muscle considering the feasibility and computational time. Then, the performance is evaluated through multi-layered human oral cavity model. …”
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Irregular Openings Identification at Construction Sites Based on Few-Shot Learning by Minjo Seo, Hyunsoo Kim

“…Identifying unstructured openings using computer vision is challenging due to their unpredictable nature and the difficulty of acquiring large labeled datasets in dynamic construction environments. …”
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FlexiNet: An Adaptive Feature Synthesis Network for Real-Time Ego Vehicle Speed Estimation by Abdalrahaman Ibrahim, Kyandoghere Kyamakya, Wolfgang Pointner

“…Ego vehicle speed estimation is critical for autonomous driving and advanced driver-assistance systems (ADAS), but traditional methods often fail in accuracy and computational efficiency under dynamic conditions. To address these challenges, we propose FlexiNet, a novel adaptive feature synthesis network that leverages monocular camera data to perform real-time speed estimation. …”
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A novel hybrid model by integrating TCN with TVFEMD and permutation entropy for monthly non-stationary runoff prediction by Huifang Wang, Xuehua Zhao, Qiucen Guo, Xixi Wu

“…Subsequently, the complexity of each sub-component is evaluated using the permutation entropy (PE), and similar low-frequency components are clustered based on the entropy value to reduce the computational cost. …”
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Comparison of CuCl/NaY and CuCl/AC Process Performance Using a Vacuum Pressure Swing Adsorption Simulation by Congli Li, Xuling Guo, Lei Tang, Jiahui Yang, Qi Shi

“…A five-bed, seven-step vacuum pressure swing adsorption (VPSA) system was computationally modeled to assess carbon monoxide (CO) separation from CO/N₂ mixed gas (30/70, <i>v</i>/<i>v</i>). …”
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Molecular modeling approach in design of new scaffold of α-glucosidase inhibitor as antidiabetic drug by Fatemeh Amini, Khansa Ismaeal Abbas, Jahan B. Ghasemi

“…This study aimed to design and computationally analyze sugar-based compounds as potent α-glucosidase inhibitors. …”
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Motion Capture Technologies for Athletic Performance Enhancement and Injury Risk Assessment: A Review for Multi-Sport Organizations by Bahman Adlou, Christopher Wilburn, Wendi Weimar

“…<b>Methods:</b> We conducted a narrative review of peer-reviewed studies (2015–2025) examining optical marker-based, inertial measurement unit (IMU) systems, including Global Navigation Satellite System (GNSS)-integrated systems, and markerless computer vision systems. Studies were evaluated for validated accuracy metrics across indoor court, aquatic, and outdoor field environments. …”
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Unsupervised post-training learning in spiking neural networks by Reyhaneh Naderi, Arash Rezaei, Mahmood Amiri, Herbert Peremans

“…Moreover, conventional neural networks are first trained on one dataset and subsequently evaluated on unseen data. In this traditional approach, the weights and structure of the model remain fixed once the training step concludes. …”
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A fiber channel modeling method based on complex neural networks by Haifeng Yang, Yongjun Wang, Chao Li, Lu Han, Qi Zhang, Xiangjun Xin

“…Additionally, analysis from the perspective of floating-point operations (FLOPs) reveals that the computational complexity of the C-CGAN is relatively low. …”
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Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence by Yushuang Dong, HuiPing Liao, Feiming Huang, YuSheng Bao, Wei Guo, Zhen Tan

“…Incremental Feature Selection was performed to evaluate these results, and optimal subsets were identified using Decision Tree and Random Forest methods. …”
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Epidemiology and management of massive, sub-massive, and non-massive pediatric pulmonary embolism: a systematic reviews by Mohammed Alsabri, Dina Essam Abo-elnour, Mohammed Ayyad, Mahmoud Shaaban Abdelgalil, Basel F. Alqeeq, Muhammad Azan Shahid

“…Abstract Objective To evaluate the current evidence on the diagnosis, management, and outcomes of pediatric pulmonary embolism (PE) across varying severity classifications, including massive, submassive, and non-massive presentations. …”
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Lightweight Mutually Authenticated Key Exchange with Physical Unclonable Functions by Cyrus Minwalla, Jim Plusquellic, Eirini Eleni Tsiropoulou

“…Other salient properties include a lightweight construction with minimal information stored on each device, a key refresh mechanism to ensure a fresh key is used for every authentication, and robustness against a wide range of attacks. We evaluate the protocol on a set of three FPGAs and a desktop server, with the computational complexity calculated as a function of primitive operations. …”
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Cost-optimal sizing of battery energy storage systems in microgrids using artificial Rabbits optimization by Riwa Q. Momani, Ahmad Abuelrub, Hussein M.K. Al-Masri, Ali Q. Al-Shetwi

“…Three operational scenarios are evaluated: without BESS (Case A), and with BESS initialized at 20 %, and 100 % SOC (Cases B, and C). …”
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A Study on Staging Cystic Echinococcosis Using Machine Learning Methods by Tuvshinsaikhan Tegshee, Temuulen Dorjsuren, Sungju Lee, Dolgorsuren Batjargal

“…A total of ten ML algorithms were evaluated across these datasets, using performance metrics such as accuracy, precision, recall (sensitivity), specificity, and F1 score. …”
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A hybrid local-global neural network for visual classification using raw EEG signals by Shuning Xue, Bu Jin, Jie Jiang, Longteng Guo, Jing Liu

“…Abstract EEG-based brain-computer interfaces (BCIs) have the potential to decode visual information. …”
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Effects of polyethylene and polypropylene microplastics on the DEP degradation mechanisms initiated by •OH and SO4•- in aquatic environments by Dandan Han, Haijie Cao, Guihong Zhao, Shengxia Duan

“…Density functional theory (DFT) computations were employed to identify the transformation pathways of DEP in the presence of both radicals, and transition state theory (TST) combined with diffusion-controlled rate corrections was further applied to calculate reaction rate constants. …”
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Ensemble weather-runoff forecasting models for reliable flood early warning systems by Alberto de la Fuente, Carolina Meruane, Viviana Meruane

“…Recent advances in deep learning (DL) offer promising improvements due to their low computational cost, enabling the generation of ensemble forecasts. …”
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CT perfusion in the diagnosis of pyelonephritis: advantages and disadvantages. A review by Valentin c Pavlov, Vladimir A. Vorobev, Vladimir A. Ananiev

“…In recent years, modern functional imaging techniques, including perfusion computed tomography (CT perfusion), have been increasingly used to evaluate renal blood flow. …”
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TRIDENT: Text-Free Data Augmentation Using Image Embedding Decomposition for Domain Generalization by Yoonyoung Choi, Geunhyeok Yu, Hyoseok Hwang

“…Furthermore, qualitative evaluations and comprehensive analyses confirm that TRIDENT not only enables efficient and diverse data synthesis but also demonstrates the effectiveness of the proposed decomposition strategy.…”
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