Imbalanced Data Problem in Machine Learning: A Review by Manahel Altalhan, Abdulmohsen Algarni, Monia Turki-Hadj Alouane

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One-Bit Distributed Sparse Spectrum Sensing Based on the DQA-ZA-LMS and DQA-RZA-LMS Algorithms Over Adaptive Networks by Ehsan Mostafapour, Changiz Ghobadi, Javad Nourinia, Ramin Borjali Navesi

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A Torus-Chaotic System and Its Pseudorandom Properties by Jizhao Liu, Xiangzi Zhang, Qingchun Zhao, Jing Lian, Fangjun Huang, Yide Ma

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Identifying Significant Macroeconomic Indicators for Indian Stock Markets by Prakash K. Aithal, Acharya U. Dinesh, M. Geetha

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Elephant Sound Classification Using Deep Learning Optimization by Hiruni Dewmini, Dulani Meedeniya, Charith Perera

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Drone Video Anomaly Detection by Future Segmentation Prediction and Spatio- Temporal Relational Modeling by Ahmed Fakhry, Janghoon Lee, Jong Taek Lee

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A Novel Cloud-Based Temperature Monitoring Service to Datacenter Environment by Mustafa Ibrahim Khaleel, Najmadin Wahid Boskany, Miran Taha Abdulla

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Divalent Metal- and High Mobility Group N Protein-Dependent Nucleosome Stability and Conformation by Michelle S. Ong, Dileep Vasudevan, Curt A. Davey

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Pathogen stress heightens sensorimotor dimensions in the human collective semantic space by Ze Fu, Huimin Chen, Zhan Liu, Maosong Sun, Zhiyuan Liu, Yanchao Bi

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Blind Corner Propagation Model for IEEE 802.11p Communication in Network Simulators by Sanchai Jaktheerangkoon, Kulit Na Nakorn, Kultida Rojviboonchai

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A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

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Identification of Risk Factors for Suicide and Insights for Developing Suicide Prevention Technologies: A Systematic Review and Meta-Analysis by Smriti Jha, Gerry Chan, Rita Orji

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Face Alignment Algorithm Based on an Improved Cascaded Convolutional Neural Network by Xun Duan, Yuanshun Wang, Yun Wu

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A Teacher-Learning-Based Optimization Approach for Blur Detection in Defocused Images by Sana Munir Khan, Muhammad Tariq Mahmood

“…In this paper, we propose a parameter-free metaheuristic optimization strategy known as teacher-learning-based optimization (TLBO) to find an optimal weight vector for the combination of blur maps. First, we compute multi-scale blur maps, i.e., features using an LBP-based blur metric. …”
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Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans by Ayman El-Baz, Ahmed Elnakib, Mohamed Abou El-Ghar, Georgy Gimel'farb, Robert Falk, Aly Farag

“…Automatic detection of lung nodules is an important problem in computer analysis of chest radiographs. In this paper, we propose a novel algorithm for isolating lung abnormalities (nodules) from spiral chest low-dose CT (LDCT) scans. …”
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Exposing Image Forgery by Detecting Consistency of Shadow by Yongzhen Ke, Fan Qin, Weidong Min, Guiling Zhang

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Impact of Environmental Conditions on Renewable Energy Prediction: An Investigation Through Tree-Based Community Learning by Ferdi Doğan, Saadin Oyucu, Derya Betul Unsal, Ahmet Aksöz, Majid Vafaeipour

“…The study’s primary contribution lies in demonstrating the effectiveness of the bagged trees model in reducing overfitting and achieving higher accuracy compared to other models, while maintaining computational efficiency. The results indicate that less sophisticated models are inadequate for accurately representing complex datasets. …”
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MASC: Wearable Design for Infectious Disease Detection Through Machine Learning by Sumaiya Afroz Mila, Bhagawat Baanav Yedla Ravi, Md Rafiul Kabir, Sandip Ray

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Coverage Extension and Balancing the Transmitted Power of the Moving Relay Node at LTE-A Cellular Network by Jaafar A. Aldhaibani, Abid Yahya, R. Badlishah Ahmad

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Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks by Leonardo Ferreira Guilhoto, Paris Perdikaris

“…Abstract Operator learning is a rising field of scientific computing where inputs or outputs of a machine learning model are functions defined in infinite-dimensional spaces. …”
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