Cervical Cancer Detection Using Deep Neural Network and Hybrid Waterwheel Plant Optimization Algorithm by Sarah A. Alzakari, Amel Ali Alhussan, S.K. Towfek, Marwa Metwally, Dina Ahmed Salem

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Anomaly Detection and Performance Analysis With Exponential Smoothing Model Powered by Genetic Algorithms and Meta Optimization by Ali Kerem Guler, Huseyin Fuat Alsan, Taner Arsan

“…Moreover, a novel approach incorporating meta-optimization techniques is proposed to enhance the efficiency of the genetic algorithm optimization process, aiming to achieve improved accuracy in anomaly detection. …”
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Quality detection and performance optimization of antenna system for 2G/3G and 4G by Wentao ZHU, Feng GAO, Kai HE, Zhiyuan SONG

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Optimized Grasshopper Optimisation Algorithm enabled DETR (DEtection TRansformer) model for skin disease classification. by Shakti Kundu, Yogesh Kumar Sharma, Khan Vajid Nabilal, Gopalsamy Venkatesan Samkumar, Sultan Mesfer Aldossary, Shanu Kuttan Rakesh, Nasratullah Nuristani, Arshad Hashmi

“…Hyperparameter tuning using GOA optimizes the critical parameters of the proposed model to improve classification accuracy. …”
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PSO-Optimized Deep Learning for Ultra-Precise Corrosion Detection on HDD Read/Write Heads by Chaiwat Punyammaree, Somyot Kaitwanidvilai

“…These findings highlight the potential of PSO-optimized deep learning for improving HDD quality control by providing an accurate, efficient, and standardized solution for corrosion pit detection, ultimately reducing the risk of HDD failure and data loss.…”
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Damage Detection of Seismically Excited Buildings Using Neural Network Arrays with Branch Pruning Optimization by Jau-Yu Chou, Chia-Ming Chang, Chieh-Yu Liu

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Intelligent intrusion detection system based on crowd search optimization for attack classification in network security by Chetan Gupta, Amit Kumar, Neelesh Kumar Jain

“…In comparison to the various state-of-the-art classifiers, the CSO method was applied to the NSL-KDD dataset and the ROSPaCe dataset for the detection of the attacks. …”
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CALCULATION OF ACTUAL MODIFICATION OF CYCLOIDAL GEAR BASED ON OPTIMAL APPROXIMATION PRINCIPLE by ZHOU JingYuan, LI TianXing, SU JianXin, WANG Bin, ZHANG RuiYao

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Optimizing Esophageal Cancer Diagnosis with Computer-Aided Detection by YOLO Models Combined with Hyperspectral Imaging by Wei-Chun Weng, Chien-Wei Huang, Chang-Chao Su, Arvind Mukundan, Riya Karmakar, Tsung-Hsien Chen, Amey Rajesh Avhad, Chu-Kuang Chou, Hsiang-Chen Wang

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Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems by Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur

“…The industrial application of artificial intelligence (AI) has witnessed outstanding adoption due to its robust efficiency in recent times. Image fault detection and classification have also been implemented industrially for product defect detection, as well as for maintaining standards and optimizing processes using AI. …”
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Improving an endangered marine species distribution using reliable and localized environmental DNA detections combined with trawl captures by Marion Chevrinais, Audrey Bourret, Geneviève Côté, Geneviève Faille, Nellie Gagné, Geneviève J. Parent

“…Strategies for integrating optimal eDNA detections in marine surveys are discussed.…”
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A Comparative Study of Unsupervised Deep Learning Methods for Anomaly Detection in Flight Data by Sameer Kumar Jasra, Gianluca Valentino, Alan Muscat, Robert Camilleri

“…The innovation of this paper involves utilizing Transformer architecture and LSTM with self-attention mechanism for the first time in the realm of aviation data, exploring the optimal method for inputting flight data into a model and evaluating all deep learning techniques for anomaly detection against the ground truth determined by human experts. …”
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Methods of detection of adverse events in critical care: a protocol for a systematic review by Oleksa Rewa, Sandy Widder, Jocelyn Slemko, Janice Y Kung, Jay Gorman

“…Critically ill patients are at high risk of adverse events; however, the optimal approach to detection in this setting is unknown. …”
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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…Convolutional neural networks (CNN) have emerged as effective tools for automatically extracting features from raw data, but raw data often lacks the structure needed for optimal feature extraction. This study explores various methods for transforming energy consumption patterns into two-dimensional (2D) representations to enhance feature extraction and NTL detection. …”
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Optimization of Filter Considering Harmonic Resonance in the Distribution Network by XIA Xiangyang, XU Linju, LUO Shiwu

“…Results show that the method of the resonance detection principle is used to optimize the configuration of the filter obtaining a good filtering effect, avoiding the resonance occurrence and demonstrate the feasibility of the method by Matlab simulation and instance validation.…”
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Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data by Hanan Alolaiyan, Maryam Liaqat, Abdul Razaq, Umer Shuaib, Abdul Wakil Baidar, Qin Xin

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Residual host cell proteins: sources, properties, detection methods and data acquisition modes by Yifan Yao, Yifan Yao, Xuemei Wen, Xuemei Wen, Hongjuan Pan, Hongjuan Pan, Ziwei Chen

“…The research in the future includes the development of more efficient sample pretreatment methods and data processing techniques to improve the sensitivity and accuracy of detection. …”
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Research on detection and tracking methods of unmanned ship water targets based on light vision by LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao

“…This study explores technical methods based on light vision to address the problem of target detection and tracking by surface unmanned ships in complex environments. …”
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Benchmarking of Anomaly Detection Methods for Industry 4.0: Evaluation, Ranking, and Practical Recommendations by Aurélie Cools, Mohammed Amin Belarbi, Sidi Ahmed Mahmoudi

“…We conduct a unified comparison of ten anomaly detection methods, categorizing them according to their reliance on synthetic anomaly generation and their detection strategy, either reconstruction-based or feature-based. …”
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Research and application of deep learning object detection methods for forest fire smoke recognition by Luhao He, Yongzhang Zhou, Lei Liu, Yuqing Zhang, Jianhua Ma

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