Unite and conquer approach for data clustering based on particle swarm optimization and moth flame optimization by E. Mosavi, S.A. Shahzadeh Fazeli, E. Abbasi, F. Kaveh-Yazdy

Get full text

Automatic gait EVENT detection in older adults during perturbed walking by Shuaijie Wang, Kazi Shahrukh Omar, Fabio Miranda, Tanvi Bhatt

“…Abstract Accurate detection of gait events in older adults, particularly during perturbed walking, is essential for evaluating balance control and fall risk. Traditional force plate-based methods often face limitations in perturbed walking scenarios due to the difficulty in landing cleanly on the force plates. …”
Get full text

Assessing dengue forecasting methods: a comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil by Xiang Chen, Paula Moraga

“…Error measures, uncertainty intervals, and computational efficiency obtained with each method were compared. …”
Get full text

Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach by Osama F. Hassan, Ahmed F. Ibrahim, Ahmed Gomaa, M. A. Makhlouf, B. Hafiz

Get full text

Estimating Age and Sex from Dental Panoramic Radiographs Using Neural Networks and Vision–Language Models by Salem Shamsul Alam, Nabila Rashid, Tasfia Azrin Faiza, Saif Ahmed, Rifat Ahmed Hassan, James Dudley, Taseef Hasan Farook

Get full text

Novel Moving Steady-State Visual Evoked Potential Stimulus to Assess Afferent and Efferent Dysfunction in Multiple Sclerosis by Masaki Nakanishi, Annalise Miner, Tzyy-Ping Jung, Jennifer Graves

“…To evaluate the platform, we recruited consecutive patients who met the 2017 MS McDonald diagnostic criteria and healthy controls for a pilot cross-sectional study. …”
Get full text

Tuning vision foundation models for rectal cancer segmentation from CT scans by Hantao Zhang, Weidong Guo, Shouhong Wan, Bingbing Zou, Wanqin Wang, Chenyang Qiu, Kaige Liu, Peiquan Jin, Jiancheng Yang

Get full text

A Dual-Strategy Framework for Cyber Threat Detection in Imbalanced, High-Dimensional Data Across Heterogeneous Networks by T. Saranya, S. Indra Priyadharshini

“…The proposed IDS is evaluated using metrics that specifically evaluate anomaly detection capabilities, such as Accuracy, Precision, DR (Detection Rate), Specificity, MR (Miss Rate), FAR (False Alarm Rate), F1-Score, Cohen’s Kappa, MCC, ROC-AUC. …”
Get full text

Incorporating Attention Mechanism Into CNN-BiGRU Classifier for HAR by Ohoud Nafea, Wadood Abdul, Ghulam Muhammad

Get full text

An Object Driven Decision Model for Quantifying the Virtual Merkus Pine Tree's Environment Contribution by Ditdit Nugeraha Utama, Bakti Amirul Jabar

“…The research aims to construct a computational decision model of a virtual Merkus Pine tree to estimate biomass production and evaluate its impact on soil reinforcement as part of the tree's environmental contributions. …”
Get full text

YOLO-MAD: Multi-Scale Geometric Structure Feature Extraction and Fusion for Steel Surface Defect Detection by Hantao Ding, Junkai Chen, Hairong Ye, Yanbing Chen

“…Crucially, this is achieved under a moderate computational load (9.4 GFLOPs), outperforming several prominent lightweight models in detection accuracy while maintaining comparable efficiency. …”
Get full text

Probabilistic optimal power flow in wind energy integrated power system based on the K‐medoids data clustering method considering correlated uncertain variables by Saeed Badoozadeh, Nazila Nikdel, Sadjad Galvani, Mohammad Farhadi‐Kangarlu

“…Probabilistic assessment of power systems is essential to evaluate uncertainties’ effects and make reasonable decisions. …”
Get full text

An Effective Adaptive Downsampling Method for High-Resolution Multi-Panel Image Segmentation by Faqir Gul, Mohsin Shah, Mushtaq Ali, Tanzeela Qazi, Muneer Ahmad, Abid Mehmood

“…Current segmentation methods are computationally expensive when applied to large-scale, high-resolution multi-panel images. …”
Get full text

Deep Learning Approach for Classifying DDoS Attack Traffic in SDN Environments by Mohd Nadeem, Shweta Dwivedi, Rizwan Akhtar, Shameem Ahmad Ansari, Saumya Singh, Eram Fatima Siddiqui, Rajeev Kumar

Get full text

A Lyapunov Optimization-Based Approach to Autonomous Vehicle Local Path Planning by Ziba Arjmandzadeh, Mohammad Hossein Abbasi, Hanchen Wang, Jiangfeng Zhang, Bin Xu

“…The approaches were then compared in terms of path smoothness, safety, and computation time. Notably, the proposed LO strategy demonstrated at least a 20 times reduction in computation time compared to the baseline methods.…”
Get full text

Mathematical modeling framework enhances clinical trial design for maintenance treatment in oncology by Emilia Kozłowska, Ulla-Maija Haltia, Krzysztof Puszynski, Anniina Färkkilä

“…Moreover, the standard approaches often evaluate drugs under a limited number of protocols. …”
Get full text

TextNeX: Text Network of eXperts for Robust Text Classification—Case Study on Machine-Generated-Text Detection by Emmanuel Pintelas, Athanasios Koursaris, Ioannis E. Livieris, Vasilis Tampakas

“…Experimental evaluations on three challenging text classification datasets demonstrate that TextNeX outperforms existing state-of-the-art ensemble models in accuracy, robustness and computational effectiveness, offering a practical alternative to large-scale models for real-world applications.…”
Get full text

CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…This is accomplished by using self-attention mechanisms to capture global dependencies between features, enabling the model to focus on relationships throughout the entire input. The results, evaluated on standard DeepShip and ShipsEar datasets, show that the proposed model achieved a classification accuracy of 97.98 % and 99.19 % while utilizing just 1.90 million parameters, outperforming other models such as ResNet18 and UATR-Transformer in terms of both accuracy and computational efficiency. …”
Get full text

Advancing Textile Damage Segmentation: A Novel RGBT Dataset and Thermal Frequency Normalization by Farshid Rayhan, Jitesh Joshi, Guangyu Ren, Lucie Hernandez, Bruna Petreca, Sharon Baurley, Nadia Berthouze, Youngjun Cho

Get full text

Improving medical image classification based on Boosted Beluga Whale Optimizer with Triangular Mutation and Cross Vision transformer models by Abdelghani Dahou, Mohamed Abd Elaziz, Ahmad O. Aseeri, Ahmed A. Ewees, Mohammed A.A. Al-qaness, Rehab Ali Ibrahim

Get full text