Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

“…This study presents the explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection for autonomous vehicles (XAIFTL-AWCDAV) method. …”
Get full text

YOLOv5-RF: a deep learning method for tailings pond identification in high-resolution remote sensing images based on improved loss function by Weiming Zhang, Wenliang Jiang, Qiang Li, Yi Luo, Heng Zhang, Qisong Jiao, Yongsheng Li, Hongbo Jiang

Get full text

Extract optimization of Ulva lactuca L. and biological activities of optimized extracts by Nuh Korkmaz

“…The antioxidant activities of the optimized extracts were evaluated by Rel Assay kits, DPPH and FRAP methods. …”
Get full text

Optimization and Validation of a QuEChERS-Based Method Combined with Gas Chromatography–Tandem Mass Spectrometry for Analyzing Pesticide Residues in Edible Insect Samples by Phannika Tongchai, Nootchakarn Sawarng, Anurak Wongta, Udomsap Jaitham, Kunrunya Sutan, Saweang Kawichai, Chuleui Jung, Bajaree Chuttong, Surat Hongsibsong

“…The method was optimized by evaluating various extraction parameters and showed strong linearity for all 47 target pesticides, with correlation coefficients (R²) ranging from 0.9940 to 0.9999. …”
Get full text

Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

“…To solve the problem that the parameter of silicon content ([Si]) in hot mental is difficult to be directly detected and obtained by manual analysis with large time delay, a method of sparse and robust least squares support vector regression (R-S-LS-SVR) was proposed to establish a dynamic model of[Si] with the help of the multi-objective genetic optimization of model parame-ters. …”
Get full text

THE DEFINITION OF MINIMUM NECESSARY DIMENSIONS OF THE DETECTION SYSTEMS OF SECURITY TELEVISION MONITORING ON INFORMATIZATION OBJECTS by Igor Vladimirovich Kaliberda

“…The geometrical dimensions of the detection systems of security television monitoring should be optimal for such tasks as intruder detection, recognition of known person, recognition of an unknown person and so on.The solution, allowing determining the minimum required parameters when building this system, is proposed. …”
Get full text

A 3-D Defect Profile Inversion Method Based on the Continuity Correction Strategy by Chenlin Wang, Jianhua Tang, Yicheng Duan, Senxiang Lu, Hao Wen

“…Inversion is a key step in MFL detection, and iterative inversion based on an optimization algorithm is an effective method for constructing the 3-D profile of defects in pipelines. …”
Get full text

An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models by J. D. Dorathi Jayaseeli, J Briskilal, C. Fancy, V. Vaitheeshwaran, R. S. M. Lakshmi Patibandla, Khasim Syed, Anil Kumar Swain

“…This manuscript designs and develops a Detection of Skin Cancer Using an Ensemble Deep Learning Model and Gray Wolf Optimization (DSC-EDLMGWO) method. …”
Get full text

A Novel Method for Estimating Parameters of Magnetic Dipole Sources Under Low Signal-to-Noise Ratio Conditions Based on LM-OBF Algorithm by Zhaotao Yan, Zhaofa Zeng, Jianwei Zhao

“…The experimental section tests this method using synthetic and field data, comparing it to traditional detection methods. …”
Get full text

Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging by Zirak Khan, Seung-Chul Yoon, Suchendra M. Bhandarkar

“…In this study, we address these challenges by optimizing DL inference for HSI-based foreign material detection through a combination of post-training quantization and hardware acceleration techniques. …”
Get full text

APPLYING TRANSFORMER ARCHITECTURE TO ENHANCE ATTACK DETECTION PERFORMANCE IN INTRUSION DETECTION SYSTEMS by Vu Thi Phuong*, Hoang Thi Hong Ha, Dinh Gia Truong, Tran Thi Yen

“…Future research directions include enhancing the model’s interpretability, optimizing its deployment in resource-constrained environments, and extending its capability to detect zero-day attacks.…”
Get full text

BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images by D. E. Martina Jaincy, V. Pattabiraman

“…It is a recent nature-inspired metaheuristic that converges to an optimal solution in fewer iterations compared to conventional methods. …”
Get full text

Study on Energy Efficiency and Maintenance Optimization of Run-Out Table in Hot Rolling Mills Using Long Short-Term Memory-Autoencoders by Ju-Woong Yun, So-Won Choi, Eul-Bum Lee

“…This study aims to develop a PdM model for the Run-Out Table (ROT) equipment in hot rolling mills of steel plants, utilizing artificial intelligence (AI) technology, and to propose methods for contributing to energy efficiency through this model. …”
Get full text

Water source, latrine type, and rainfall are associated with detection of non-optimal and enteric bacteria in the vaginal microbiome: a prospective observational cohort study neste... by Anna E Czapar, Souvik Paul, Garazi Zulaika, Fredrick Otieno, Walter Agingu, Adit Chaudhary, Runa Bhaumik, Anna Maria van Eijk, Stefan J Green, Elizabeth Nyothach, Penelope A Phillips-Howard, Supriya D. Mehta

Get full text

A New Breast Cancer Discovery Strategy: A Combined Outlier Rejection Technique and an Ensemble Classification Method by Shereen H. Ali, Mohamed Shehata

“…CORT is divided into two primary phases: (i) the Quick Rejection Phase (QRP), which is a quick phase utilizing a statistical method, and (ii) the Accurate Rejection Phase (ARP), which is a precise phase using an optimization method. …”
Get full text

Evaluation of Soil Samples Preparation Techniques for Detecting Selenium by Using Atomic Fluorescence Spectroscopy-Based Detection by Lin Zhu, Zheng-he Hu, Xiu-long Chen, Surat Hongsibsong

“…Selenium (Se) can cause poisoning in the human body, including dry, brittle, and easy-to-fall-off hair, white spots and longitudinal lines of nails, skin damage, nervous system abnormalities, and even death. In order to optimize the experimental process for the sensitive detection of Se in samples by atomic fluorescence spectrometry (AFS), an excellent experimental technique was selected to provide a reference for Se detection. …”
Get full text

An improved underivatized, cost-effective, validated method for six short-chain fatty organic acids by high-performance liquid chromatography by Esther A. Olonimoyo, Naresh Kumar Amradi, Stephanie Lansing, Akua A. Asa-Awuku, Candice M. Duncan

“…Validation and quantification were tested using fermentation broth samples. This optimized method is characterized by lower detection limits and a 50 % shorter analysis time and is applicable to aqueous samples with complex matrices.…”
Get full text

Diagnosis Anthracnose of Chili Pepper Using Convolutional Neural Networks Based Deep Learning Models by Hae-In Kim, Ju-Yeon Yoon, Ho-Jong Ju

Get full text

A deep learning based intrusion detection system for CAN vehicle based on combination of triple attention mechanism and GGO algorithm by Hongwei Yang, Mehdi Effatparvar

“…The current work utilizes a novel Greylag Goose Optimization algorithm for optimal selection of the network hyperparameters. …”
Get full text

Clinical evaluation of a novel H. pylori fecal molecular diagnosis kit (multiplex RT-PCR method) for detecting clarithromycin and fluoroquinolones resistance using stool samples by Wen-juan Wei, Bang sun He, Bin Lv, Bin Yang, Yong Xie, Zhen yu Zhang

“…The highest overall concordance (Kappa = 0.774) was observed at intermediate MIC levels (4–32 µg/mL), suggesting optimal detection accuracy in this range.ConclusionsThe fecal diagnostic kit provides a rapid, non-invasive, and reliable method to predict clarithromycin and fluoroquinolone resistance, supporting personalized therapy.Clinical Trial RegistrationClinicalTrials.gov, identifier NCT05410652.…”
Get full text