An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

“…Nevertheless, networked UAVs are vulnerable to malicious attacks, and therefore intrusion detection systems (IDSs) are logically derived to address the vulnerabilities and/or attacks. …”
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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The proposed model leverages a deep learning-based anomaly detection system to classify network states into low, moderate, or high threat levels, which guides encryption policy selection. …”
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Quantitative Analysis of 3-Monochloropropane-1,2-diol in Fried Oil Using Convolutional Neural Networks Optimizing with a Stepwise Hybrid Preprocessing Strategy Based on Fourier Tra... by Xi Wang, Siyi Wang, Shibing Zhang, Jiping Yin, Qi Zhao

“…The LODs (0.36 μg/g) and LOQs (1.10 μg/g) of the proposed method met the requirements for 3-MCPD detection in oil samples by the Commission Regulation issued of EU. …”
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Research of neural network algorithms for recognizing railway infrastructure objects in video images by E.V. Medvedeva, A.A. Perevoshchikova

“…The experimental studies conducted are aimed at increasing the efficiency of algorithms for object detection and segmentation through the use of data augmentation methods and additional preprocessing, as well as selecting an architecture and optimal network hyperparameters. …”
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Environmental Factors in Structural Health Monitoring—Analysis and Removal of Effects from Resonance Frequencies by Rims Janeliukstis, Lasma Ratnika, Liga Gaile, Sandris Rucevskis

“…The current study focuses on developing a damage detection methodology that is applicable to the long-term monitoring of such structures. …”
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SAR remote sensing for monitoring harmful algal blooms using deep learning models by Kritnipit Phetanan, Do Hyuck Kwon, Jinmyeong Lee, Heewon Jeong, Gibeom Nam, Euiho Hwang, JongCheol Pyo, Kyung Hwa Cho

“…The model was developed with hyperparameter optimization to detect the algal bloom by splitting the training from 2020 to 2022, and the testing dataset 2022. …”
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Multi-Decision Vector Fusion Model for Enhanced Mapping of Aboveground Biomass in Subtropical Forests Integrating Sentinel-1, Sentinel-2, and Airborne LiDAR Data by Wenhao Jiang, Linjing Zhang, Xiaoxue Zhang, Si Gao, Huimin Gao, Lin Sun, Guangjian Yan

“…With airborne light detection and ranging (LiDAR)-derived AGB as a reference, a three-stage optimization strategy was developed, including stepwise feature selection (SFS), hyperparameter optimization, and multi-decision vector fusion (MDVF) model construction. …”
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Three-Dimensional Instance Segmentation of Rooms in Indoor Building Point Clouds Using Mask3D by Michael Brunklaus, Maximilian Kellner, Alexander Reiterer

“…We show that Mask3D generates meaningful predictions for multi-floor scenes. After hyperparameter optimization, Mask3D outperforms the current state-of-the-art method RoomFormer evaluated in 3D on the synthetic Structured3D dataset. …”
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Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

“…This research endeavors to devise an effective method for detecting a learner’s preferred learning style and subsequently adapting the learning content to align with that style, utilizing artificial intelligence AI techniques. …”
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Multi-Class Classification of Human Activity and Gait Events Using Heterogeneous Sensors by Tasmiyah Javed, Ali Raza, Hafiz Farhan Maqbool, Saqib Zafar, Juri Taborri, Stefano Rossi

“…The control of active prostheses and orthoses requires the precise classification of instantaneous human activity and the detection of specific events within each activity. …”
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Robust Distribution-Aware Ensemble Learning for Multi-Sensor Systems by Payman Goodarzi, Julian Schauer, Andreas Schütze

“…Detecting distribution and domain shifts is critical in decision-sensitive applications, such as industrial monitoring systems. …”
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Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge by Ali Dabbous, Riccardo Berta, Matteo Fresta, Hadi Ballout, Luca Lazzaroni, Francesco Bellotti

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Identifying patterns differing between high-dimensional datasets with generalized contrastive PCA. by Eliezyer Fermino de Oliveira, Pranjal Garg, Jens Hjerling-Leffler, Renata Batista-Brito, Lucas Sjulson

“…We first provide analyses explaining why cPCA requires a hyperparameter and how gcPCA avoids this requirement. …”
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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…Preventive measures through early detection of diabetic foot complications are necessary to minimize the risk of amputation. …”
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Identification of Mind Awareness from EDA signals using Wavelet based ResNet50 model by Chappidi Sriram Kalyan, Palanisamy Rohini

“…Results indicate that batch size of 32, learning rate 1e-5 provides better results. This hyperparameter tuned model achieved an accuracy of 64% in differentiating between the two classes. …”
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Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization by Prabhat Kumar Sahu, Taiyaba Fatma

“…Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide, making early and accurate detection crucial for effective treatment. This study presents a novel and optimized breast cancer classification system using machine learning models enhanced through advanced hyperparameter tuning techniques and statistical validation methods. …”
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Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning by Mohammed Alghamdi, Hanan Abdullah Mengash, Mohammed Aljebreen, Mohammed Maray, Abdulbasit A. Darem, Ahmed S. Salama

“…To boost the complete product detection process, the ACPR-AOADL technique involves AOA based hyperparameter selection process. …”
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APD-BayNet: Jakarta Air Quality Index Prediction Using Bayesian Optimized Tabnet by Raey Faldo, Satria Mandala, Rina Pudji Astuti, Ary Setijadi Prihatmanto, Mohd Soperi Mohd Zahid

“…However, existing studies suffer from several limitations, including the use of outdated datasets, lack of dataset normalization, suboptimal hyperparameter tuning, absence of k-fold cross-validation in certain experiments, and limited exploration of deep learning models for AQI detection. …”
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Sine Cosine Optimization With Deep Learning–Driven Object Detector for Visually Impaired Persons by Hadeel Alsolai, Fahd N. Al-Wesabi, Abdelwahed Motwakel, Suhanda Drar

“…To accomplish this, the proposed SCODL–ODC technique employs a YOLOv5 object detector at the initial stage to detect the objects accurately, and the SCO model performs its hyperparameter tuning process. …”
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Estimation and validation of solubility of recombinant protein in E. coli strains via various advanced machine learning models by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…Key preprocessing techniques such as Histogram-Based Outlier Detection (HBOD) and Z-score normalization are employed to ensure data integrity and consistency. …”
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