Application of big data and artificial intelligence in visual communication art design by Ailing Zhang

“…In the era of continuous development of computer technology, the application of artificial intelligence (AI) and big data is becoming more and more extensive. …”
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Cellular Automata-Based Parallel Random Number Generators Using FPGAs by David H. K. Hoe, Jonathan M. Comer, Juan C. Cerda, Chris D. Martinez, Mukul V. Shirvaikar

“…Cellular computing represents a new paradigm for implementing high-speed massively parallel machines. …”
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HANA: An AI Chatbot for Islamic Jurisprudence on Menstruation using SBERT and TF-IDF by Tsaura Rafah Masuzzahra, Khothibul Umam, Hery Mustofa, Maya Rini Handayani

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Explainable Pre-Trained Language Models for Sentiment Analysis in Low-Resourced Languages by Koena Ronny Mabokela, Mpho Primus, Turgay Celik

“…However, due to linguistic complexities and limited data or computational resources, it is under-represented in many African languages. …”
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Cluster channel equalization using adaptive sensing and reinforcement learning for UAV communication by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

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Exploring the “what” and “how” of opportunities and challenges of AI in EFL teacher education by Sina Omidvar, Hussein Meihami

“…To that end, we used descriptive narrative design in which we collected autobiographical narratives and conducted semi-structured interviews with 35 EFL teachers, four EFL teacher educators, and four computer engineers. Through inductive thematic analysis, we identified several opportunities, including professional, psychological, and economic benefits. …”
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Demystifying diagnosis: an efficient deep learning technique with explainable AI to improve breast cancer detection by Ahmed Alzahrani, Muhammad Ali Raza, Muhammad Zubair Asghar

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MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

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A Comparison of Data Quality Frameworks: A Review by Russell Miller, Sai Hin Matthew Chan, Harvey Whelan, João Gregório

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iPro-CSAF: identification of promoters based on convolutional spiking neural networks and spiking attention mechanism by Qian Zhou, Jie Meng, Hao Luo

“…Therefore, they have good property of processing spatio-temporal information and are well suited for learning sequence information. …”
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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

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Transformer-based ensemble model for dialectal Arabic sentiment classification by Omar Mansour, Eman Aboelela, Remon Talaat, Mahmoud Bustami

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Enhanced education on geology by 3D interactive virtual geological scenes by Yuan Fang, Yuxin Li, Lei Fan

“…Virtual Reality (VR) technology is a computer simulation system that leverages real-life data to create and immerse users in virtual worlds. …”
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Variational quantum classifier-based early identification and classification of chronic kidney disease using sparse autoencoder and LASSO shrinkage by P. Parthasarathi, Haya Mesfer Alshahrani, K. Venkatachalam, Jaehyuk Cho

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An interpretable multi-transformer ensemble for text-based movie genre classification by Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Nouf Nawar Alotaibi, Salma Mohsen M. Alnefaie

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Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches by Nadenlla RajamohanReddy, G. Muneeswari

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Analyzing the Synergy between HCI and TRIZ in Product Innovation through a Systematic Review of the Literature by Shaohan Chen, Khairul Manami Kamarudin, Shihua Yan

“…The boundary between tangible and digital products is getting more fused while rapidly evolving systems for interaction require novel processes that allow for rapidly developed designs, evaluations, and interaction strategies to facilitate efficient and unique user interactions with computer systems. …”
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Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques by Phan Thi Huong, Lam Thanh Hien, Nguyen Minh Son, Huynh Cao Tuan, Thanh Q. Nguyen

“…Key techniques such as depthwise separable convolutions, linear bottlenecks, and inverted residuals help reduce the number of parameters and computational load while maintaining high performance in feature extraction. …”
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Real-Time Image Semantic Segmentation Based on Improved DeepLabv3+ Network by Peibo Li, Jiangwu Zhou, Xiaohua Xu

“…First, the MobileNetV2 model with less computational overhead and number of parameters is selected as the backbone network to improve the segmentation speed; then, the Feature Enhancement Module (FEM) is introduced to several shallow features with different scale sizes in MobileNetV2, and then these shallow features are fused to improve the utilization rate of the model encoder on the edge information, to retain more detailed information and to improve the network’s feature representation ability for complex scenes; finally, to address the problem that the output feature maps of Atrous Spatial Pyramid Pooling (ASPP) module do not pay enough attention to detailed information after merging, the FEM attention mechanism is introduced on the feature maps processed by the ASPP module. …”
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An Efficient Categorization of Diabetes Imbalanced Data Using SMOTE-ENN With Fine-Tuned LS-SVM Algorithm by Nwayyin Mohammed, Mariwan Hama Saeed

“…Machine learning is a part of computational algorithms designed to imitate human intelligence by learning from the surrounding environment. …”
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