A Secure Image Steganography Using Shark Smell Optimization and Edge Detection Technique by Omar Y. Abdulhammed, Pshtiwan J. Karim, Dashne R. Arif, Twana S. Ali, Avin O. Abdalrahman, Arkan A. Saffer

“…This paper concentrated on three basic and significant parts which are payload, quality, and security also introduces a new steganography method by using edge detection method and shark smell optimization to effectively hide data with in images. …”
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Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography by Yilong Zhang, Heyou Yu, Haohao Sun, Yongbo Yao, Haixia Wang, Jian Liu, Yuanjie Dang, Ronghua Liang, Peng Chen

“…This study not only explores the method's effectiveness but also performs parameter analysis and optimization on multiple scales. …”
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Onboard LiDAR–Camera Deployment Optimization for Pavement Marking Distress Fusion Detection by Ciyun Lin, Wenjian Sun, Ganghao Sun, Bown Gong, Hongchao Liu

“…Therefore, an onboard light detection and ranging (LiDAR) and camera deployment optimization method is proposed for pavement marking distress detection to adapt to complex traffic conditions, such as shadows and changing light. …”
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Optimized PCF architectures for THz detection of aquatic pathogens: Enhancing water quality monitoring. by Diponkar Kundu, Nasir Uddin Badhon, A H M Iftekharul Ferdous, Md Safiul Islam, Md Galib Hasan, Khalid Sifulla Noor, Most Momtahina Bani

“…Waterborne bacteria pose a serious hazard to human health, hence a precise detection method is required to identify them. A photonic crystal fiber sensor that takes into account the dangers of aquatic bacteria has been suggested, and its optical characteristics in the THz range have been quantitatively assessed. …”
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Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

“…The method integrates the variable action space and the composite reward function and achieves the balanced optimization of different types of defect detection performance by adjusting the scaling and translation amplitude of the detection region. …”
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Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine by Ajeet Singh, Anurag Jain, Seblewongel Esseynew Biable

“…In the first level, the firefly algorithm (FFA) and the CfsSubsetEval feature section method have been applied to optimize the subset of features, while in the second level, the support vector machine classifier has been used to build the training model for the detection of credit card fraud cases. …”
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Enhancing phishing detection with dynamic optimization and character-level deep learning in cloud environments by Vishnukumar Ravula, Mangayarkarasi Ramaiah

“…To improve precision, hyperparameter tuning has been done using DAOA. The proposed method offers a feasible solution for identifying the phishing URLs, and the method achieves computational efficiency through the attention mechanism and dynamic hyperparameter optimization. …”
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Explainable and Interpretable Model for the Early Detection of Brain Stroke Using Optimized Boosting Algorithms by Yogita Dubey, Yashraj Tarte, Nikhil Talatule, Khushal Damahe, Prachi Palsodkar, Punit Fulzele

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Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization by Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda, Tora Fahrudin, Rini Handayani

“…Thus, this research aims to develop a fast, cheap, accurate method utilizing an electronic nose (e-nose) and machine learning algorithms as an alternative method for assessing the freshness quality of marine fishery products (seafood). …”
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Vision Gaze-Driven Micro-Electro-Mechanical Systems Light Detection and Ranging Optimization by Shaotang Wei, Bo Gao, Junya Wang, Zheng You

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Boosting Malware Detection with AlexNet and Optimized Neural Networks Using the Grasshopper Algorithm by Mohammed Aswad

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Comprehensive Outlier Detection in Wireless Sensor Network with Fast Optimization Algorithm of Classification Model by Haiqing Yao, Heng Cao, Jin Li

“…To reduce the complexity of optimization algorithm for QSSVM model in existing techniques, a fast optimization algorithm based on average Euclidean distance has been developed and employed to the comprehensive outlier detection method. …”
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Optimizing Crop Yield Prediction: An In-Depth Analysis of Outlier Detection Algorithms on Davangere Region by C. S. Anu, C. R. Nirmala, A. Bhowmik, A. Johnson Santhosh

“…This research focuses on optimizing crop yield prediction in the Davangere region through a thorough analysis of outlier detection algorithms applied to the local agricultural dataset. …”
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System for PCB Defect Detection Using Visual Computing and Deep Learning for Production Optimization by Gabriel Gomes de Oliveira, Gabriel Caumo Vaz, Marcos Antonio Andrade, Yuzo Iano, Leandro Ronchini Ximenes, Rangel Arthur

“…This study presents a system based on traditional visual computing and new deep learning methods to detect defects in electronic devices during the manufacturing process. …”
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MonoDFNet: Monocular 3D Object Detection with Depth Fusion and Adaptive Optimization by Yuhan Gao, Peng Wang, Xiaoyan Li, Mengyu Sun, Ruohai Di, Liangliang Li, Wei Hong

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YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

“…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
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Research on the optimization of grouting flow detection sensor layouts based on laser ranging technology by Lichang Wang, Wei Long, Zhanghui Fei, Zhongli Yang, Meng Xu, Lu Wang

“…This work provides a validated framework for sensor layout optimization, enhancing the reliability of laser-based grouting flow detection in practical applications.…”
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Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection by Hongran Li, Chao Wei, Yizhou Yang, Zhaoman Zhong, Ming Xu, Dongqing Yuan

“…By using projection operators to optimize the background dictionary, we overcome the limitations of traditional methods that rely on static dictionaries. …”
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Development and Optimization of Micro‐Nanotopographical Platforms for Surface Enhanced Raman Scattering Biomolecular Detection by David Femi Odetade, Jonathan J. S. Rickard, Pola Goldberg Oppenheimer

“…The fabricated SERS substrates are validated by detecting traumatic brain injury biomarkers, effectively yielding the characteristic fingerprint spectra of each neuro‐molecule. …”
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Federated Learning for Fall Detection With Multimodal Residual Fusion and Pareto-Optimized Client Selection by Bao-Quan Wang, Fan Yang, Yi Wang, Fan Zhao, Yun-Fei Han, Yu-Peng Ma

“…However, challenges such as multimodal data integration and joint analysis in Internet of Medical Things (IoMT) environments and data heterogeneity across sources hinder efficient and accurate fall detection. This paper proposes a Federated Learning-based framework with Multimodal Residual Fusion and Pareto-optimized Client Selection (FLPCS-MRF). …”
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