American Sign Language Recognition Model Using Complex Zernike Moments and Complex-Valued Deep Neural Networks by Selda Bayrak, Vasif Nabiyev, Celal Atalar

“…CVDNNs are a powerful method capable of addressing the complex optimization issues of traditional deep neural networks more efficiently. …”
Get full text

Missing Data Interpolation of Alzheimer’s Disease Based on Column-by-Column Mixed Mode by Shi-di Miao, Si-qi Li, Xu-yang Zheng, Rui-tao Wang, Jing Li, Si-si Ding, Jun-feng Ma

“…In addition, in the processing of missing data, a combination of deletion method and interpolation method is adopted with reference to expert knowledge. …”
Get full text

A secure and efficient deep learning-based intrusion detection framework for the internet of vehicles by Hasim Khan, Ghanshyam G. Tejani, Rayed AlGhamdi, Sultan Alasmari, Naveen Kumar Sharma, Sunil Kumar Sharma

“…Abstract This swift growth in Internet of Vehicle (IoV) networks has created serious security issues, primarily in intrusion detection due to the fact that these are complex, dynamic, and large-scale networks. …”
Get full text

A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

“…To address the issues of uneven feature point distribution, environmental interference, and insufficient real-time performance in UAV image stitching in complex urban environments, this paper proposes an improved ORB algorithm based on Gaussian scale-space optimization and dynamic grid division, combined with a global geometric consistency optimization strategy. …”
Get full text

GWSC-SegMamba: Gate Wavelet Spatial Convolution Enhanced State Space Model for Multi-Temporal Agricultural Land Segmentation by Yohanes Fridolin Hestrio, Aprinaldi Jasa Mantau, Wisnu Jatmiko

“…The study of multi-temporal satellite data for agricultural land segmentation faces significant computational challenges when processing extended temporal sequences, particularly due to CNNs’ limited receptive fields and Transformers’ quadratic complexity, since convolutional neural networks are constrained by local receptive fields, whereas Transformers experience quadratic complexity in their self-attention mechanisms. …”
Get full text

Clean 1H NMR Spectra of Products Directly from Batch and Flow Reaction Mixtures by Yuliia Horbenko, Martin Jaudronnet, Nour El Sabbagh, Margherita Bazzoni, Aurélie Bernard, Mathias Nilsson, Patrick Giraudeau, François‐Xavier Felpin, Jean‐Nicolas Dumez

“…However, the complexity of NMR spectra in reaction mixtures can result in peak overlap and assignment issues, which make it difficult to recover the clean complete spectrum of compounds involved in the reaction. …”
Get full text

Glucose homeostasis and cognitive functions in schizophrenia: a systematic review and meta-analysis by Alexander Kancsev, Eszter Éva Virág-Tulassay, Marie Anne Engh, Szilvia Kiss-Dala, András Attila Horváth, Péter Hegyi, Szabolcs Kéri

“…Addressing these metabolic issues could help improve cognitive and functional outcomes in schizophrenia patients.…”
Get full text

Emerging Foodborne Pathogens: Challenges and Strategies for Ensuring Food Safety by Ali Hassan, Muhammad Kashif Iqbal Khan, Summaia Fordos, Ali Hasan, Samran Khalid, Muhammad Zeeshan Naeem, Ali Usman

“…Furthermore, this study explores the challenges faced in controlling and preventing the spread of these pathogens throughout the food supply chain. It examines issues related to contamination during production, processing, transportation, and consumption. …”
Get full text

Challenges and opportunities for green transitions adoption in Kenya's textile manufacturing industry by Dinah Awino

“…The study concluded that challenges such as inefficient waste management, heavy reliance on non-renewable energy sources, insufficient domestic cotton production, and limited awareness of environmental standards collectively hinder progress toward a greener sector.DiscussionsThe findings of the present study highlight the multifaceted challenges impeding Kenya's textile industry from fully embracing sustainable practices. Issues such as inefficient waste management, heavy reliance on non-renewable energy sources, insufficient domestic cotton production, and limited awareness of environmental standards collectively hinder progress toward a greener sector. …”
Get full text

Pre-tension load of resistant knitted fabric influence on radiant heat transfer index by Aleksandr N. Petukhov

Get full text

Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks by C. Christy, A. Nirmala, A. Mary Odilya Teena, A. Isabella Amali

“…Regarding feature selection, MLIDS-RFA uses machine-learning approaches to enhance the detection process. The outcome is a reduction in the amount of processing overhead and a shortening of the response times. …”
Get full text

What Should We Know to Predict Geomagnetically Induced Currents in Power Transmission Lines? by Pilipenko Vyacheslav, Kozyreva Olga, Belahovskiy Vladimir, Sakharov Yaroslav, Selivanov Vasiliy

“…This review considers several issues of space weather studies that are directly related to the problem of geomagnetically induced current (GIC) excitation in the power line transmission systems. …”
Get full text

Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions by R Suganya, P Balaramesh, S Kannadhasan, V Chandrasekhar, S R Arun Raj, R Dhilipkumar

“…Chivalry: Signal Processing for WMSNs Humanoid vertical lace up boot where the lacing up shoes are made of suede or synthetic leather. …”
Get full text

Transformation of law in the context of digitalization: defining the correct priorities by E. L. Sidorenko, P. von Arx

“…This study underlines, among the priority tasks and directions, the issues of legal personality of digital technologies, and the essential mechanisms for the protection of products using digital technologies. …”
Get full text

Fitness exercise evaluation system based on improved DTW algorithm by Tinghang Guo, Qianhan Yin, Xinlin Liu, Yue Sun, Zhuanping Qin, Yu Han, Guangda Lu

“…To address these issues, a real-time fitness action recognition and evaluation system is developed based on the lightweight BlazePose model. …”
Get full text

Detection of water-rich areas and seepage channels via the transient electromagnetic method, electrical resistivity tomography, and self-potential method by Peng Wang, Fan Li, Kai Lu, Wei Huang

“…The subsequent post-processing of these detection results facilitated the construction of a comprehensive three-dimensional model of the groundwater system. …”
Get full text

SwinSegFormer: Advancing Aerial Image Semantic Segmentation for Flood Detection by Muhammad Tariq Shaheen, Hafsa Iqbal, Numan Khurshid, Haleema Sadia, Nasir Saeed

“…Additionally, we developed a post-processing module to categorize areas into flooded and non-flooded. …”
Get full text

Integrating and retrieving learning analytics data from heterogeneous platforms using ontology alignment: Graph-based approach by Mohd Hafizan Musa, Sazilah Salam, Siti Feirusz Ahmad Fesol, Muhammad Syahmie Shabarudin, Jack Febrian Rusdi, Mohd Adili Norasikin, Ibrahim Ahmad

“…The model solves the issues of data accumulation and their heterogeneity, including the problem of having data in different formats and various semantic similarities, and is suitable for processing large amounts of data in terms of scalability. …”
Get full text

Development of a rational composition of a polyenzyme composition in the technology of bioscouring of cotton fabrics by Ksenia A. Lenko, Natallia N. Yasinskaya, Natallia V. Skobova

Get full text

A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

“…To mitigate the interference of dynamic features, we propose a normalization feature learning block (NFLBlock) as the core component of NFLM for processing sequences. This module normalizes input data and uses a stacked multilayer perceptron to extract cross-temporal and cross-dimensional dependencies. …”
Get full text