A New Approach for Carrying Out Sentiment Analysis of Social Media Comments Using Natural Language Processing by Mritunjay Ranjan, Sanjay Tiwari, Arif Md Sattar, Nisha S. Tatkar

“…Text analytics uses machine learning to evaluate “unstructured” natural language text data. …”
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Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning by Seyed Morteza Moghimi, Thomas Aaron Gulliver, Ilamparithi Thirumarai Chelvan, Hossen Teimoorinia

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Enhancing Wind Turbine Power Output Estimation Using Causal Inference and Adaptive Neuro-Fuzzy Inference System ANFIS by Ahmed A. Mostfa, Nawfal A. Zakar, Rasha Raad Al-Mola, Abdel-Nasser Sharkawy

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A Comprehensive Approach for Detecting and Handling MitM-ARP Spoofing Attacks by Standy Oei, Yohanes Suyanto, Reza Pulungan

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Enhancing Voice Phishing Detection Using Multilingual Back-Translation and SMOTE: An Empirical Study by Milandu Keith Moussavou Boussougou, Prince Hamandawana, Dong-Joo Park

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Multilingual sentiment analysis in restaurant reviews using aspect focused learning by Arifur Rahman, Md. Azam Khan, Kanchon Kumar Bishnu, Uland Rozario, Adit Ishraq, M. F. Mridha, Zeyar Aung

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Artificial Intelligence-Based Skin Lesion Analysis and Skin Cancer Detection by Momina Qureshi, Muhammad Athar Javed Sethi, Sayed Shahid Hussain

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Improving the accuracy of prediction models for small datasets of Cytochrome P450 inhibition with deep learning by Elpri Eka Permadi, Reiko Watanabe, Kenji Mizuguchi

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Gaussian Q Function Approximation in Wireless Communication System’s Design: A Gradient-Based Optimization Approach by Leuva Bhumika Ranchhodbhai, Dharmendra Sadhwani

“…In addition, a comparative analysis on the time required to compute the exact and proposed SEP values is also highlighted in this paper. …”
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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

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Chemoproteomic analysis of the pharmacological properties of vitamin В12 derivatives by I. Yu. Torshin, O. A. Gromova, I. A. Dereven’kov, L. A. Maiorova

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Shoulder Rotational and Dynamic Stability Profiles in Elite and National-Level Tennis Players: A Pilot Study Using an Electromechanical Dynamometer for Measuring Isometric Strength by Álvaro Madroñal-Sotomayor, Luis Manuel Martínez-Aranda, Manuel Ortega-Becerra

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CAMP: Counterexamples, Abstraction, MDPs, and Policy Refinement for Enhancing Safety, Stability, and Rewards in Reinforcement Learning by Ryeonggu Kwon, Gihwon Kwon

“…The proposed method enhances computational efficiency in complex state spaces through state abstraction and strengthens policy safety by employing the PRISM model checker to quantitatively analyze transitions to failure states. …”
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How Resilient Are Kolmogorov–Arnold Networks in Classification Tasks? A Robustness Investigation by Ahmed Dawod Mohammed Ibrahum, Zhengyu Shang, Jang-Eui Hong

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Leveraging Cross-Project Similarity for Data Augmentation and Security Bug Report Prediction by Jinfeng Ji, Geunseok Yang

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Tiny TR-CAP: A novel small-scale benchmark dataset for general-purpose image captioning tasks by Abbas Memiş, Serdar Yıldız

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An Information-Extreme Algorithm for Universal Nuclear Feature-Driven Automated Classification of Breast Cancer Cells by Taras Savchenko, Ruslana Lakhtaryna, Anastasiia Denysenko, Anatoliy Dovbysh, Sarah E. Coupland, Roman Moskalenko

“…<b>Results</b>: The algorithm’s functional efficiency was evaluated on a dataset of 176 labeled cell images, yielding promising results: an accuracy of 89%, a precision of 85%, a recall of 84%, and an F1-score of 88%. …”
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Advancing Artificial Intelligence of Things Security: Integrating Feature Selection and Deep Learning for Real-Time Intrusion Detection by Faisal Albalwy, Muhannad Almohaimeed

“…This study proposes an integrated approach combining feature selection methods and principal component analysis (PCA) with advanced deep learning (DL) models for real-time intrusion detection, significantly improving both computational efficiency and accuracy compared to previous methods. …”
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Enhancing Power Density in Switched Reluctance Generators Through Split Axial Segmentation by Parlin Siagian, Ira Devi Sara, Tarmizi Tarmizi, Nasaruddin Nasaruddin

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Application of Deep Learning in Forest Fire Prediction: A Systematic Review by Cesilia Mambile, Shubi Kaijage, Judith Leo

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