Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…In this paper, we introduce a novel imbalanced learning approach named Imbalanced Maximizing-Area Under the Curve (AUC) Proximal Support Vector Machine (ImAUC-PSVM), which harnesses the foundational principles of traditional PSVM for the detection of CVDs. The ImAUC-PSVM method offers several key advantages: 1) It skillfully incorporates AUC maximization directly into the objective function. …”
Get full text

A Physics-Based Hyper Parameter Optimized Federated Multi-Layered Deep Learning Model for Intrusion Detection in IoT Networks by Chirag Jitendra Chandnani, Vedik Agarwal, Shlok Chetan Kulkarni, Aditya Aren, D. Geraldine Bessie Amali, Kathiravan Srinivasan

Subjects: “…Hyperparameter optimization…”
Get full text

Tensor Network Methods for Hyperparameter Optimization and Compression of Convolutional Neural Networks by A. Naumov, A. Melnikov, M. Perelshtein, Ar. Melnikov, V. Abronin, F. Oksanichenko

“…Neural networks have become a cornerstone of computer vision applications, with tasks ranging from image classification to object detection. However, challenges such as hyperparameter optimization (HPO) and model compression remain critical for improving performance and deploying models on resource-constrained devices. …”
Get full text

Comparative Analysis of Transformers to Support Fine-Grained Emotion Detection in Short-Text Data by Robert H. Frye, David C. Wilson

Subjects: Get full text

Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach by Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Arpita Howlader, Md. Mahbubur Rahman, Hafiz Md. Hasan Babu, Nitish Biswas, Umme Raihan Siddiqi, Badhan Mazumder

Subjects: “…Asphyxia detection…”
Get full text

Internet of Things Assisted Plant Disease Detection and Crop Management Using Deep Learning for Sustainable Agriculture by Eman A. Al-Shahari, Ghadah Aldehim, Mohammed Aljebreen, Jehad Saad Alqurni, Ahmed S. Salama, Sitelbanat Abdelbagi

Subjects: “…Plant disease detection…”
Get full text

A Spider Wasp Optimizer-Based Deep Learning Framework for Efficient Citrus Disease Detection by Abisola Olayiwola, Ajibola Oyedeji, Dare Olayiwola, Olufemi Awodoye, Olukunle Oyebode

Subjects: “…Citrus Disease Detection…”
Get full text

Vision Transformer for Brain Tumor Detection Using Hyperspectral Images With Reduced Spectral Bands by Domenico Ragusa, Marco Gazzoni, Emanuele Torti, Elisa Marenzi, Francesco Leporati

Subjects: Get full text

Application of Faster R-CNN Deep Learning Method for Rice Plant Disease Detection by Halim Pujiono, Anik Vega Vitianingsih, Slamet Kacung, Anastasia Lidya Maukar, Seftin Fitri Ana Wati

Subjects: Get full text

Hyperparameter optimization of apple leaf dataset for the disease recognition based on the YOLOv8 by Yong-Suk Lee, Maheshkumar Prakash Patil, Jeong Gyu Kim, Yong Bae Seo, Dong-Hyun Ahn, Gun-Do Kim

“…Using the YOLOv8 family of object detection models, we created a disease recognition model for the apple leaf dataset in this study. …”
Get full text

Credit card fraud Detection using Feature select method and improved machine learning algorithm by Mohammed AL-Hammadi

“…In today’s digital age, credit card fraud has become a serious issue, posing financial risks to individuals, businesses, and financial institutions alike. Detecting credit card fraud is crucial to limiting these risks and securing financial systems. …”
Get full text

Hyperparameter Optimization for Tomato Leaf Disease Recognition Based on YOLOv11m by Yong-Suk Lee, Maheshkumar Prakash Patil, Jeong Gyu Kim, Yong Bae Seo, Dong-Hyun Ahn, Gun-Do Kim

“…YOLOv11m was selected for further hyperparameter optimization based on its evaluation metrics. …”
Get full text

Multi-Domain Controversial Text Detection Based on a Machine Learning and Deep Learning Stacked Ensemble by Jiadi Liu, Zhuodong Liu, Qiaoqi Li, Weihao Kong, Xiangyu Li

Subjects: “…controversial text detection…”
Get full text

Optimizing VGG16 Architecture with Bayesian Hyperparameter Tuning for Tomato Leaf Disease Classification by Tsaqif Muhammad Arkan, Aris Sugiharto, Helmie Arif Wibawa

“…To further refine performance, Bayesian Optimization is employed to search for the most effective combination of hyperparameters. Experiments conducted using the Tomato Leaf Disease Detection dataset demonstrate that the proposed method outperforms the original VGG16 model, achieving a test accuracy of 97.1% compared to 89.0%. …”
Get full text

The Effect of SMOTE and Optuna Hyperparameter Optimization on TabNet Performance for Heart Disease Classification by Danang Wijayanto, Robert Marco, Acihmah Sidauruk, Mulia Sulistiyono

“…Early diagnosis of heart disease has become increasingly crucial as delayed detection can significantly impact patient outcomes and survival rates. …”
Get full text

Stroke Detection in Brain CT Images Using Convolutional Neural Networks: Model Development, Optimization and Interpretability by Hassan Abdi, Mian Usman Sattar, Raza Hasan, Vishal Dattana, Salman Mahmood

Subjects: Get full text

Logistics Hub Surveillance: Optimizing YOLOv3 Training for AI-Powered Drone Systems by Georgios Tepteris, Konstantinos Mamasis, Ioannis Minis

Subjects: Get full text

A novel approach based on XGBoost classifier and Bayesian optimization for credit card fraud detection by Mohammed Tayebi, Said El Kafhali

Subjects: Get full text

A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

“…To put therapies in place that potentially slow the progression of AD, early diagnosis and detection are essential. Early detection of these phases enables early activities, which are essential for controlling the disease. …”
Get full text

Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…Data pre-processing techniques applied include missing data imputation, scale correction, normalization with three different transformations (log, Box-Cox, and NST) and outlier detection. To enhance the ML performance, two search algorithms (random search and Bayesian optimization) are compared in their ability to tune the ML hyperparameters. …”
Get full text