Enhancing consistency of AHP-based expert judgements: A new approach and its implementation in an interactive tool by Shimon Frish, Irit Talmor, Omer Hadar, Maxim Shoshany, Aviad Shapira

“…Experts convey their criteria evaluations through pairwise comparisons that ultimately result in a consistency check of the preferences obtained. …”
Get full text

Optimized YOLOv8 for enhanced breast tumor segmentation in ultrasound imaging by Ayman Mohamed Mostafa, Alaa S. Alaerjan, Bader Aldughayfiq, Hisham Allahem, Alshimaa Abdelraof Mahmoud, Wael Said, Hosameldeen Shabana, Mohamed Ezz

Get full text

An Efficient and Robust Numerical Solver for Impulsive Control of Fractional Chaotic Systems by Zahra Moniri, Behrouz Parsa Moghaddam, Morteza Zamani Roudbaraki

“…This paper derives a computationally efficient and fast-running solver for the approximate solution of fractional differential equations with impulsive effects. …”
Get full text

Energy Flexibility in Aluminium Smelting: A Long-Term Feasibility Study Based on the Prospects of Electricity Load and Photovoltaic Production by Marko Bizjak, Niko Uremovič, Domen Mongus, Primož Sukič, Gorazd Štumberger, Haris Salihagić Hrenko, Dragan Mikša, Stanislav Kores, Niko Lukač

Get full text

scHeteroNet: A Heterophily‐Aware Graph Neural Network for Accurate Cell Type Annotation and Novel Cell Detection by Jiacheng Liu, Xingyu Fan, Chunbin Gu, Yaodong Yang, Bian Wu, Guangyong Chen, Chang‐Yu Hsieh, Pheng‐Ann Heng

Get full text

An Efficient Detector for Automatic Tomato Classification Systems by Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo

Get full text

Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks by Anes Ouadou, David Huangal, Mariam Alshehri, Grant Scott, J. Alex Hurt

Get full text

Towards Ontological Approach on Trust-Aware Ambient Services by O-Joun Lee, Hoang Long Nguyen, Jai E. Jung, Tai-Won Um, Hyun-Woo Lee

“…In particular, given a large amount of data collected from ambient sensors, efficient trust computation and reasoning are required for the stability and reliability. …”
Get full text

Statistical Analysis of AC Breakdown Performance of Epoxy/Al₂O₃ Micro-Composites for High-Voltage Applications by Changyeong Cheon, Dongmin Seo, Myungchin Kim

Get full text

Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systems by Haithem Ben Chikha, Alaa Alaerjan, Randa Jabeur

Get full text

Improved Energy Efficient Anytime Optimistic Algorithm for PEGASIS to Extend Network Lifetime in Homogeneous and Heterogeneous Networks by Tadele A. Abose, Venumadhav Tekulapally, Samuel T. Daka, Diriba C. Kejela, Alemayehu E. Duguma, Desalegn T. Degaga

Get full text

Multi-Threshold Remote Sensing Image Segmentation Based on Improved Black-Winged Kite Algorithm by Yi Zhang, Xinyu Liu, Wei Sun, Tianshu You, Xin Qi

“…This paper proposes an adaptive multi-threshold image segmentation method named IBKA-OTSU to address the limitations of existing deep learning-based image segmentation methods, particularly their heavy reliance on large-scale annotated datasets and high computational complexity. The proposed algorithm significantly enhances the capability of complex remote sensing scenarios by systematic improvements to core algorithm components, including population initialization strategy, attack behavior patterns, migration mechanisms, and opposition-based learning strategy. …”
Get full text

Building the Future of Transportation: A Comprehensive Survey on AV Perception, Localization, and Mapping by Ashok Kumar Patil, Bhargav Punugupati, Himanshi Gupta, Niranjan S. Mayur, Srivatsa Ramesh, Prasad B. Honnavalli

Get full text

A triple pronged approach for ulcerative colitis severity classification using multimodal, meta, and transformer based learning by Md. Nasim Ahmed, Dipta Neogi, Muhammad Rafsan Kabir, Shafin Rahman, Sifat Momen, Nabeel Mohammed

Get full text

Deep learning-based edge detection for random natural images by Kanija Muntarina, Rafid Mostafiz, Sumaita Binte Shorif, Mohammad Shorif Uddin

“…Edge detection plays a critical role in computer vision, particularly in the analysis of random natural images. …”
Get full text

A lightweight deep learning method to identify different types of cervical cancer by Md. Humaion Kabir Mehedi, Moumita Khandaker, Shaneen Ara, Md. Ashraful Alam, M. F. Mridha, Zeyar Aung

Get full text

Synergistic feature selection and distributed classification framework for high-dimensional medical data analysis by D. Dhinakaran, L. Srinivasan, S. Edwin Raja, K. Valarmathi, M. Gomathy Nayagam

“…Since the medical datasets are large and complex, they give rise to certain problematic issues such as computational complexity, limited memory space, and a lesser number of correct classifications. …”
Get full text

An MLLM-Assisted Web Crawler Approach for Web Application Fuzzing by Wantong Yang, Enze Wang, Zhiwen Gui, Yuan Zhou, Baosheng Wang, Wei Xie

Get full text

An Improved Software Source Code Vulnerability Detection Method: Combination of Multi-Feature Screening and Integrated Sampling Model by Xin He, Asiya, Daoqi Han, Shuncheng Zhou, Xueliang Fu, Honghui Li

Get full text

HIGH-SPEED MULTIPLIER DESIGN BASED ON AN OPTIMIZED PARALLEL PREFIX TREE ARCHITECTURE by D. V. N. Bharathi, Y Varthamanan

“…The objective is to enhance computation speed while simultaneously reducing size and power consumption. …”
Get full text