Self-healing of concrete incorporating seashells as partial cement replacement by Abbas Ali, Abdalla Khalid, Sigdel Anish

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Energy-based open set domain adaptation with dynamic weighted synergistic mechanism by Zihao Fu, Dong Liu, Shengsheng Wang, Hao Chai

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Host Feasibility Investigation to Improve Robustness in Hybrid DWT+SVD Based Image Watermarking Schemes by Tanya Koohpayeh Araghi, Azizah Abd Manaf, Ala Alarood, Azida Binti Zainol

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SC-CoSF: Self-Correcting Collaborative and Co-Training for Image Fusion and Semantic Segmentation by Dongrui Yang, Lihong Qiao, Yucheng Shu

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An Intelligent Technique for Android Malware Identification Using Fuzzy Rank-Based Fusion by Altyeb Taha, Ahmed Hamza Osman, Yakubu Suleiman Baguda

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Large Language Models for Synthetic Dataset Generation of Cybersecurity Indicators of Compromise by Ashwaq Almorjan, Mohammed Basheri, Miada Almasre

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Sports Injury Surveillance Systems: A Scoping Review of Practice and Methodologies by Damien Costello, Ed Daly, Lisa Ryan

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Lane and Traffic Sign Detection for Autonomous Vehicles: Addressing Challenges on Indian Road Conditions by H. S. Gowri Yaamini, Swathi K J, Manohar N, Ajay Kumar G

“…YOLOv8 algorithm has its challenges but gives better precision results and YOLOv8 nano variant is widely used as it is computationally less complex comparatively. Through rigorous evaluations of diverseness in the datasets, the proposed YOLOv8n transfer learning models exhibits remarkable performance with a mean Average Precision (mAP) of 90.6 % and inference speed of 117 frames per second (fps) for lane detection whereas, a notable mAP of 81.3 % for traffic sign detection model with a processing speed of 56 fps. • YOLOv8n Transfer Learning approach by adjusting architecture for lane and traffic sign detection in Indian diverse Urban, Suburban, and Highway scenarios. • Dataset with 22,400 images of normal and complex Indian scenarios include crude weathering of roads, traffic conditions, diverse tropical weather conditions, partially occluded and partially erased lanes, and traffic signs. • The model performance with notable precision and frame wise inference.…”
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HybNet: A hybrid deep models for medicinal plant species identification by B.R. Pushpa, S. Jyothsna, S. Lasya

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Al-anodizing waste as a supplementary cementitious material for 3D-printed Portland cement by Jairon Gomes da Silveira Júnior, Rafael Dors Sakata, Lucas Onghero, Paulo Ricardo de Matos, Erich David Rodríguez, Lisandro Simão, Antonio Pedro Novaes de Oliveira, Ruan Carlos de Araújo Moura, Carlos Eduardo Maduro de Campos, José Renato de Castro Pessôa, Marcelo Tramontin Souza

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Evaluatology’s perspective on AI evaluation in critical scenarios: From tail quality to landscape by Zhengxin Yang

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Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt by Mohammad Nishat Akhtar, Waseem Ahmed, Muhammad Rafiq Kakar, Elmi Abu Bakar, A. R. Othman, Moises Bueno

“…This manuscript proposes a parallel k means for image processing (PKIP) algorithm using multiprocessing and distributed computing to assess the adhesion failure in WMA and HMA samples subjected to three different moisture sensitivity tests (dry, one, and three freeze-thaw cycles) and fractured by indirect tensile test. …”
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Dual-stream hybrid architecture with adaptive multi-scale boundary-aware mechanisms for robust urban change detection in smart cities by Israr Ahmad, Fengjun Shang, Muhammad Salman Pathan, Ahsan Wajahat, Yun-Su Kim

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Intracellular spatial transcriptomic analysis toolkit (InSTAnT) by Anurendra Kumar, Alex W. Schrader, Bhavay Aggarwal, Ali Ebrahimpour Boroojeny, Marisa Asadian, JuYeon Lee, You Jin Song, Sihai Dave Zhao, Hee-Sun Han, Saurabh Sinha

“…We present Intracellular Spatial Transcriptomic Analysis Toolkit (InSTAnT), a computational toolkit for extracting molecular relationships from spatial transcriptomics data at single molecule resolution. …”
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Unveiling polyoxometalate redox properties at the nanoscale by Volatron, Florence, Izzet, Guillaume, Vuillaume, Dominique,  Proust, Anna

“…They undergo successive, reversible, and highly adjustable mono- (or multi-) electronic reduction processes within a narrow range of potentials. Furthermore, POMs are polyanions, with counter cations playing a crucial role, beyond ensuring charge neutrality. …”
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A new approach to MADM problem using interval-valued hesitant Fermatean fuzzy Hamacher operators and statistical variance by Xiuqin Ma, Xuli Niu, Hongwu Qin, Dong Ren, Siyue Lei, Kexin Tang

“…Firstly, the SV weight calculation method is given under IVHFFSs, aiming to computing objective weights of attributes. This greatly reduces data redundancy and improves the computational complexity. …”
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Digital Transformation for Sustainable Future - Agriculture 4.0: A review by Mehmet Ali Dayıoğlu, Ufuk Turker

“…Digital technologies are explained with application examples such as the Internet of Things (IoT), cloud computing, big data, artificial intelligence, decision support systems, etc. …”
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A Framework for Leveraging Digital Technologies in Reverse Logistics Actions: A Systematic Literature Review by Sílvia Patrícia Rodrigues, Leonardo de Carvalho Gomes, Fernanda Araújo Pimentel Peres, Ricardo Gonçalves de Faria Correa, Ismael Cristofer Baierle

“…Simultaneously, Industry 4.0 technologies are transforming RL operations by enhancing their collection, transportation, storage, sorting, remanufacturing, recycling, and disposal processes. Understanding the roles of these technologies is essential for improving efficiency and sustainability. …”
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A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images by Oguzhan Katar, Ozal Yildirim, Ru-San Tan, U Rajendra Acharya

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Vehicle-to-everything decision optimization and cloud control based on deep reinforcement learning by Zhenhai Gao, Dayu Liu, Chengyuan Zheng

“…Furthermore, an autonomous driving cloud control platform is designed, augmenting decision-making capabilities through centralized computing resources, enabling large-scale data analysis, and facilitating collaborative optimization. …”
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