Bayesian prediction of under-five mortality rates for Tanzania by Mohamed K. Mwanga, Silas S. Mirau, Jean M. Tchuenche, Isambi S. Mbalawata

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A New Simple Epidemic Discrete-Time Model Describing the Dissemination of Information with Optimal Control Strategy by Hamza Boutayeb, Sara Bidah, Omar Zakary, Mostafa Rachik

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Lung cancer classification with Convolutional Neural Network Architectures by Shivan H. M. Mohammed, Ahmet Çinar

“…Nowadays, researchers have been trying various deep learning techniques to improve the efficiency of CAD (computer-aided system) with computed tomography in lung cancer screening. …”
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Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics by Fengming Xin, Bin Wang, Shumin Li, Xin Song, Chi-Hsu Wang

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Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency by Chen Qiu, Ziang Wu, Haoda Wang, Qinglin Yang, Yu Wang, Chunhua Su

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Augmented Reality Green Training: Elevating Environmental Knowledge and Driving Pro-Environmental Behaviour Among Indonesian White-Collar Workers by Grace Herlina Maria, Iskandar Karto, Triana Ika

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SQL Injection Detection Based on Lightweight Multi-Head Self-Attention by Rui-Teng Lo, Wen-Jyi Hwang, Tsung-Ming Tai

“…It consumes only limited computation and storage overhead for web services. In addition, it can even be deployed in the edge devices with low computation capacity for online detection. …”
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Quadrotor Trajectory Planning with Tetrahedron Partitions and B-Splines in Unknown and Dynamic Environments by Jiayu Men, Jesús Requena Carrión

“…Furthermore, our method can reduce the computational burden caused by moving obstacles during trajectory replanning.…”
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Design of a Multi-Layer Symmetric Encryption System Using Reversible Cellular Automata by George Cosmin Stănică, Petre Anghelescu

“…This study presents a symmetric block encryption design based on multiple reversible cellular automata (RCAs) that can assure both computational efficiency and reliable restoration of original data. …”
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Rethinking spatial-temporal contrastive learning for Urban traffic flow forecasting: multi-level augmentation framework by Lin Pan, Qianqian Ren, Zilong Li, Xingfeng Lv

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Optimal Multi-Physics Synthesis of a Dual-Frequency Power Inductor Using Deep Neural Networks and Gaussian Process Regression by Paolo Di Barba, Arash Ghafoorinejad, Maria Evelina Mognaschi, Fabrizio Dughiero, Michele Forzan, Elisabetta Sieni

“…In order to build a surrogate field model of the device, i.e., to compute the temperature profile on the disk, given the amplitudes and frequencies of the supply currents, three methods have been used (Support Vector Regression (SVR), fully connected Neural Network (NN) and Gaussian Process Regression (GPR)). …”
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Structural Damage Detection Using Energy Flow Models by E.R.O. Santos, V.S. Pereira, J.R.F. Arruda, J.M.C. Dos Santos

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Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

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Machine learning–based automated image processing for quality management in industrial Internet of Things by Nematullo Rahmatov, Anand Paul, Faisal Saeed, Won-Hwa Hong, HyunCheol Seo, Jeonghong Kim

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A cost-based comparison of quarantine strategies for new emerging diseases by Anuj Mubayi, Christopher Kribs Zaleta, Maia Martcheva, Carlos Castillo-Chávez

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Design and application of system with dual-control of water and electricity based on wireless sensor network and video recognition technology by Hejie Chen, Chunxue Wu, Wending Huang, Yan Wu, Naixue Xiong

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An in‐depth study of the effects of methods on the dataset selection of public development projects by Can Cheng, Bing Li, Zengyang Li, Peng Liang, Xu Yang

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Privacy Auditing in Differential Private Machine Learning: The Current Trends by Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols

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Machine learning optimized design of THz piezoelectric perovskite-based biosensor for the detection of formalin in aqueous environments by Jacob Wekalao, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-zahrani

“…The integration of LWLR-based optimization protocols substantially enhances prediction accuracy while reducing computational time by ≥ 85% as well as cutting down the required resources. …”
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Public-Transportation-Assisted Data Delivery Scheme in Vehicular Delay Tolerant Networks by Yong Feng, Ke Liu, Qian Qian, Feng Wang, Xiaodong Fu

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