A Self-Supervised Monocular Depth Estimation Framework Based on Detail Recovery and Feature Fusion by Shun Li, Chongzheng Huang, Xiangzhe Li, Zhengyou Liang

“…MDAFM captures feature information from different perspectives and levels to address the problem of critical information loss, while HPCB effectively captures and fuses local and global information through parallel processing. The synergy of these modules enables EDFNet to generate high-quality depth maps in various complex scenarios. …”
Get full text

Computational Analysis of the Structural Composition of Coronavirus Genomes by M. V. Sprindzuk, V. I. Bernik, A. S. Vladyko, L. Zhuozhuang, L. P. Titov

“…Data analysis was performed using the YASS, genomic texts were downloaded from the GISAID, the custom genomic data processing pipeline based on the Galaxy bioinformatics platform was also applied. …”
Get full text

Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis by Md Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li

“…This framework contains EEG data collection, pre-processing for noise removal, temporal segmentation, convolutional neural network (CNN) model training and classification, and finally, evaluation. …”
Get full text

Enhancing Internet of Things security in healthcare using a blockchain-driven lightweight hashing system by Bassam W. Aboshosha, M. Mokhtar Zayed, Hany S. khalifa, Rabie A. Ramadan

“…However, this growth also introduces significant challenges related to data security, privacy, and system efficiency, especially for devices with limited processing power and energy resources. To address these issues, this study introduces a blockchain-based lightweight hashing system specifically designed for healthcare environments with resource-constrained devices. …”
Get full text

An Improved Point Cloud Filtering Algorithm Applies in Complex Urban Environments by Guangyu Liang, Ximin Cui, Debao Yuan, Liuya Zhang, Renxu Yang

“…It can effectively distinguish ground points from object points, reduce data redundancy, and improve processing efficiency, providing accurate foundational data for urban 3D modeling, environmental monitoring, and intelligent management. …”
Get full text

Influence of knowledge management practices on librarians' competency in artificial intelligence in tertiary institutions of Lokoja, Kogi State, Nigeria by Sherif Kunle Yusuf, Abdullateef B. Oshinaike, Ismail O. Suleiman, Yinka Martins Omoniyi

“…However, limited proficiency in technical AI domains such as machine learning and natural language processing indicates a need for specialized training. …”
Get full text

Photoplethysmogram (PPG)-Based Biometric Identification Using 2D Signal Transformation and Multi-Scale Feature Fusion by Yuanyuan Xu, Zhi Wang, Xiaochang Liu

“…Unlike most existing methods that directly process one-dimensional PPG signals, this paper adopts a novel approach based on two-dimensional PPG signal processing. …”
Get full text

ChatGPT in healthcare education: a double-edged sword of trends, challenges, and opportunities by Michael Agyemang Adarkwah, Samuel Anokye Badu, Evans Appiah Osei, Enoch Adu-Gyamfi, Jonathan Odame, Käthe Schneider

“…Additionally, barriers remain that could lead to ethical and legal issues, particularly exacerbating inequalities in developing countries. …”
Get full text

Histogram of Polarization Gradient for Target Tracking in Infrared DoFP Polarization Thermal Imaging by Jianguo Yang, Dian Sheng, Weiqi Jin, Li Li

“…However, existing methods face challenges, including dependence on complex image preprocessing procedures and limited real-time performance. To address these issues, this study presents a novel histogram of polarization gradient (HPG) feature descriptor that enables efficient feature representation of polarization mosaic images. …”
Get full text

Properties of Street Food Rolled Eggs in Padang City by Muhaimin Simatupang, Afriani Sandra, Aronal Arief Putra, Intan Dwi Anggraini

Get full text

Exploring The Co-composting Potentials of Raw Grease Trap and Grease Trap-Derived Soaps: Insights into Grease Trap Modification, Calcium Supplementation, and Microbial Community An... by Pokchat Chutivisut, Panaya Kotchaplai, Bualuang Faiyue, Nattapong Tuntiwiwattanapun

“…Managing waste with grease traps poses a challenge because of the potential environmental issues associated with its disposal. In this study, two approaches were investigated to increase the biodegradability of grease trap waste: 1) converting raw grease trap waste into soap and 2) supplementing grease trap soap as inoculum with calcium material. …”
Get full text

Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review by Dhekre Saber Saleh, Mohd Shahizan Othman

“…In the Meta-analysis, 168 documents have been processed, and 41 documents on TDD are included for observation analysis. …”
Get full text

Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data by Jiali Wang, Jia Chen

“…Big data refers to large-scale, complex datasets that exceed traditional data processing capabilities. Firstly, analyze and preprocess the big data uploaded by the battery. …”
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

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

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

Thermal and mechanical degradation mechanisms in heterostructural field-effect transistors based on gallium nitride by Vadim M. Minnebaev

“…At the same time, issues associated with ensuring their reliability are no less acute than for devices based on other semiconductor materials. …”
Get full text

Pharmaceutical care for symptoms of allergy during pregnancy and lactation: rational choice and use of antihistamines by T. B. Ryvak, O. M. Nepyivoda, A. Ya. Koval

“…Materials and methods. 95 respondents were questioned by a single specially designed protocol, taking into account the problematic issues associated with allergy symptoms during pregnancy/lactation. …”
Get full text

METHODOLOGY OF FINANCIAL AND ECONOMIC ANALYSIS OF INNOVATIVE ACTIVITIES OF ENTERPRISES IN THE CONDITIONS OF THE DIGITAL ECONOMY by О. Osadcha, O. Liashenko, O. Pavelko, R. Markov, N. Yurkiv

“…The relevance of the study is due to the need for a systematic study of the issues of methodological support for the analysis of innovative activities of enterprises in the context of the development of the digital economy. …”
Get full text

Unveiling construction accident causation: a scientometric analysis and qualitative review of research trends by Haoyu Zang, Ming Li, Zhiyao Jin, Jingfei Huang

“…In addition, a qualitative synthesis was conducted to review common data sources and examine key issues, including risk factor identification, accident type classification, causality analysis, and the optimization of research strategies. …”
Get full text