A Classification Method for E-mail Spam Using a Hybrid Approach for Feature Selection Optimization by Zeinab Hassani, vahid Hajihashemi, Keivan Borna, Iman Sahraei Dehmajnoonie

“…This approach is considered a hybrid of optimization algorithms and classifiers in machine learning. Binary Whale Optimization (BWO) and Binary Grey Wolf Optimization (BGWO) algorithms are used for feature selection and K-Nearest Neighbor (KNN) and Fuzzy K-Nearest Neighbor (FKNN) algorithms are applied as the classifiers in this research. …”
Get full text

Quantum optimization algorithms for CT image segmentation from X-ray data by Kyungtaek Jun, Hyunju Lee

Get full text

Optical detection of single and multiple seeding using an innovative shape-recognition algorithm by Ali Ghaffarnezhad, Hossein Navid, Hadi Karimi

“…The precise detection and counting of individual seeds, especially those that pass through and overlap in pairs or multiples, is a major challenge in developing seed monitoring systems. In this research, a novel shape-based algorithm is presented that utilizes seven pairs of 3-mm infrared LEDs to efficiently recognize and count both single seeds and overlapping seeds. …”
Get full text

Background dictionary construction-based sparse representation hyperspectral target detection by Tao Yang, Lin Feipeng, Yang Wen, Weng Shan

Get full text

Introducing Primality Testing Algorithm with an Implementation on 64 bits RSA Encryption Using Verilog by Rehan Shams, Fozia Hanif Khan, Umair Jillani, M. Umair

Get full text

Research on range matching for wire-speed hardware NIDS by CHEN Shu-hui, SUN Zhi-gang, SU Jin-shu

Get full text

Research on range matching for wire-speed hardware NIDS by CHEN Shu-hui, SUN Zhi-gang, SU Jin-shu

Get full text

Improved gray wolf harris hawk algorithm based feature selection for sentiment analysis by Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al-Betar, Ahamad Tajudin Khader

Get full text

Sensor Node Deployment Based on Electromagnetism-Like Algorithm in Mobile Wireless Sensor Networks by Recep Özdağ, Ali Karcı

Get full text

Infrared Image Classification and Detection Algorithm for Power Equipment Based on Improved YOLOv10 by Xiu Ji, Zheyu Yue, Hongliu Yang, Zehong Zhang

Get full text

Sustainable soil organic carbon prediction using machine learning and the ninja optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy

Get full text

Exact makespan minimization of unrelated parallel machines by Åblad, Edvin, Strömberg, Ann-Brith, Spensieri, Domenico

Get full text

Finding White Dwarfs’ Hidden Companions Using an Unsupervised Machine Learning Technique by Xabier Pérez-Couto, Minia Manteiga, Eva Villaver

Get full text

Robust zero-watermarking for color images using hybrid deep learning models and encryption by Hager A. Gharib, Noha M. M. Abdelnapi, Khalid M. Hosny

“…Abstract Reliable zero-watermarking is a distortion-free approach to copyright protection, which has been a primary focus of digital watermarking research. Traditional zero-watermarking techniques often struggle to maintain resilience against geometric and signal processing attacks while ensuring high security and imperceptibility. …”
Get full text

Simulation of a scalable corridor waning radiance system using fuzzy PID and genetic algorithm by Abdallah Awamu, Jimmy Nabende Wanzala, Michael Robson Atim, Cosmos Dumba

Get full text

Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…For risk assessment and nursing value analysis, machine learning-based prediction using a multiagent reinforcement algorithm is employed. For improving the performance of the proposed system, we use spider monkey optimization (SMO) algorithm. …”
Get full text

Benchmarking Multiple Large Language Models for Automated Clinical Trial Data Extraction in Aging Research by Richard J. Young, Alice M. Matthews, Brach Poston

Get full text

Research and Application of Personalized Modeling Based on Individual Interest in Mining by Baocheng Huang, Guang Yu

“…First, the interest classification problem called multiclass classification algorithm is proposed based on improving support vector machine of binary tree. …”
Get full text

Renewable energy forecasting using optimized quantum temporal model based on Ninja optimization algorithm by Mona Ahmed Yassen, El-Sayed M. El-kenawy, Mohamed Gamal Abdel-Fattah, Islam Ismael, Hossam El.Deen Salah Mostafa

“…Fundamental data preparation steps, including normalization scaling, and gap handling, play a vital role before using input data for reliable renewable energy forecasting operations. Using the Ninja binary optimization engine produces superior results than all tested binary algorithms, including SBO, bSCA, bFA, bGA, bFEP, bGSA, bDE, bTSH and bBA, resulting in enhanced classification accuracy. …”
Get full text

Post-processing methods for mitigating algorithmic bias in healthcare classification models: An extended umbrella review by Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame

“…Future research should empirically compare post-processing methods on binary classification models using real-world healthcare data. …”
Get full text