Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks by Aaditya Joshi, Paramveer Singh Matharu, Lokesh Malviya, Manoj Kumar, Akshay Jadhav

“…Abstract Accurate and efficient analysis of Electroencephalogram (EEG) signals is crucial for applications like neurological diagnosis and Brain-Computer Interfaces (BCI). Traditional methods often fall short in capturing the intricate temporal dynamics inherent in EEG data. …”
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Battery State of Health Estimation Methods: Implementation and Comparison of 11 Algorithms by Eojin Kim, Sunghun Jung

“…Unlike previous research, this work emphasizes empirical validation using real-world battery datasets and evaluates each algorithm based on predictive accuracy, computational complexity, and practical applicability. …”
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Robust Yaw Stability Control of Commercial Vehicles by Jae-Hoon Jeong, Baek-Soon Kwon

“…The methods of stochastic root locus and parameter sensitivity reduction are adopted to design a robust yaw stability controller. Computer simulations have been conducted to evaluate the stability and robust performance of the proposed controller. …”
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A New Version of Weighted Weibull Distribution: Modelling to COVID-19 Data by Amani Abdullah Alahmadi, Mohammed Alqawba, Waleed Almutiry, A. W. Shawki, Sharifah Alrajhi, Sanaa Al-Marzouki, Mohammed Elgarhy

“…Diverse features of the novel are computed. These qualities include moments, incomplete moments, and Lorenz and Bonferroni curves and quantiles, as well as entropy and order statistics. …”
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High-speed X-ray radiography for experiments in impact dynamics using high-power X-ray tube, cesium iodine scintillator and laboratory optical camera by Jan Šleichrt, Jan Falta, Tomáš Fíla

“… X-ray radiography and computed tomography have become well-established methods for investigation of internal structure of objects and for defectoscopy. …”
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Next Sentence Prediction with BERT as a Dynamic Chunking Mechanism for Retrieval-Augmented Generation Systems by Alexandre Thurow Bender, Gabriel Almeida Gomes, Ulisses Brisolara Corrêa, Ricardo Matsumura Araujo

“…Results indicate that the proposed method achieves competitive retrieval performance while reducing computational time by roughly 60%, demonstrating its potential to improve Retrieval-Augmented Generation systems. …”
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A Novel Deep Learning Model for Human Skeleton Estimation Using FMCW Radar by Parma Hadi Rantelinggi, Xintong Shi, Mondher Bouazizi, Tomoaki Ohtsuki

“…Our approach introduces a frame concatenation strategy that improves data quality before processing through the neural network pipeline. Experimental evaluations on the MARS dataset demonstrate that our model outperforms conventional methods by significantly reducing estimation errors, achieving a mean absolute error (MAE) of 1.77 cm and a root mean squared error (RMSE) of 2.92 cm while maintaining computational efficiency.…”
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A Comparison of Modern Metaheuristics for Multi-Objective Optimization of Transonic Aeroelasticity in a Tow-Steered Composite Wing by Kantinan Phuekpan, Rachata Khammee, Natee Panagant, Sujin Bureerat, Nantiwat Pholdee, Kittinan Wansasueb

“…A comparative analysis of eight state-of-the-art algorithms is conducted to evaluate their performance in solving this problem. …”
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The application of machine learning in clinical microbiology and infectious diseases by Cheng Xu, Ling-Yun Zhao, Cun-Si Ye, Ke-Chen Xu, Ke-Chen Xu, Ke-Yang Xu

“…With the development of artificial intelligence(AI) in computer science and statistics, it has been further applied to the medical field. …”
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Spatial-spectral collaborative attention network for hyperspectral unmixing by Xiaojie Chen, Fanlei Meng, Ye Mo, Haixin Sun

“…In recent years, the transformer architecture has demonstrated exceptional feature extraction capabilities in the field of computer vision (CV). Building on this, our paper aims to fully exploit the potential of the attention in transformers and apply it to the task of hyperspectral unmixing (HU). …”
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Loading of anionic surfactant on eco-friendly biochar and its applications in Cr(VI) removal: adsorption, kinetics, and reusability studies by Azza M. Shaker, Mohamed Khedawy, Abeer A. Moneer, Nabila M. El-Mallah, Mohamed S. Ramadan

“…The thermodynamic parameters were computed, which disclosed the spontaneity and exothermic character of the Cr(VI) elimination. …”
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Deep blur detection network with boundary-aware multi-scale features by Xiaoli Sun, Qiwei Wang, Xiujun Zhang, Chen Xu, Weiqiang Zhang

“…Recently, blur detection is a hot topic in computer vision. It can accurately segment the blurred areas from an image, which is conducive for the post-processing of the image. …”
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X-ray tomo-ptychography of single micrometric carbon and basalt fibres by M. Ducousso, J. Rinkel, W. Boutu, F. Jenson, J. Pérez, P. Margerit, N. Quaglia, E. Heriprë, J.P. Marquez Costa, L. Courapied

“…Here we have used Ptychography X-ray Computed Tomography to probe quantitatively the bulk electronic density and the morphology of micrometric carbon and basalt fibres. …”
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A Regularization Method for Landslide Thickness Estimation by Lisa Borgatti, Davide Donati, Liwei Hu, Germana Landi, Fabiana Zama

“…To solve the inverse problem, we present a regularization approach that computes approximate solutions and regularization parameters using the Balancing Principle. …”
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Filamentary Convolution for SLI: A Brain-Inspired Approach with High Efficiency by Boyuan Zhang, Xibang Yang, Tong Xie, Shuyuan Zhu, Bing Zeng

“…This method addresses aliasing limitations while maintaining computational efficiency in SLI systems.…”
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A Multi-Criteria Perceptual Visual Complexity Metrics-Based Optimization Approach to User Interface Design Layouts by Eren Akca, Omer Ozgur Tanriover, Asim Egemen Yilmaz

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Towards the Development of an Eco-Design Approach for Aircraft Components by Aikaterini Anagnostopoulou, Dimitrios Sotiropoulos, Giannis Floros, Konstantinos Tserpes

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Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes by Neha Irfan, Sherin Zafar, Kashish Ara Shakil, Mudasir Ahmad Wani, S. N. Kumar, A. Jaiganesh, K. M. Abubeker

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Shorter SPECT scans using self-supervised coordinate learning to synthesize skipped projection views by Zongyu Li, Yixuan Jia, Xiaojian Xu, Jason Hu, Jeffrey A. Fessler, Yuni K. Dewaraja

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Advancing patient care with AI: a unified framework for medical image segmentation using transfer learning and hybrid feature extraction by Nazife Çevik, Taner Çevik, Onur Osman, Shtwai Alsubai, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed

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