Evaluation of anhydrous processing and storage methods of the temperate bacteriophage ɸV10 for integration into foodborne pathogen detection methodologies. by Andrew Kanach, Theresa Bottorff, Min Zhao, Jun Wang, George T C Chiu, Bruce Applegate

“…One such hurdle, and the focus of this work, is the development of methods for transitioning laboratory stocks of bacteriophage into functional, consistent, and shelf-stable delivery methods in commercial detection kits. …”
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Evaluating Colilert and ChromAgar methods for the detection of ESBL bacteria in water samples from urban markets in Blantyre, Malawi by Miss Effita Masoamphambe, Dr Derek Cocker, Prof Nicholas Feasey, Dr Kondwani Chidziwitsano, Miss Mindy Panulo, Dr David Berendes, Dr Amy Kirby, Prof Tracy Morse

“…Here, we evaluated the use of ChromAgar culture and novel ESBL Colilert methods for detecting ESBLs in water samples. Methods: Four urban markets in Blantyre, Malawi were evaluated. …”
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Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology by Hassan Hosseinzadeh asl, Ghasem Tohidi, F. Movahedi, E. Hassannayebi

“…In this paper, the performance of the benzene gas detection sensor in the air is optimized by an experimental design method. …”
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Exact solutions of the (1+1)-dissipative Westervelt equation using an optimal system of Lie sub-algebras and modified simple equation method by Theko M. Sekhesa, Ngaka J. Nchejane, Wetsi D. Poka, Kalebe M. Kalebe

“…In this paper, we obtain exact invariant solutions of the (1+1)-dimensional dissipative Westervelt equation using Lie symmetry analysis with modified simple equation method. By utilizing an optimal system of Lie sub-algebras, the model is reduced to an ordinary differential equation. …”
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Multipopulation Whale Optimization-Based Feature Selection Algorithm and Its Application in Human Fall Detection Using Inertial Measurement Unit Sensors by Haolin Cao, Bingshuo Yan, Lin Dong, Xianfeng Yuan

“…In addition, the proposed method is utilized to perform feature selection in human fall-detection tasks, and extensive real experimental results further illustrate the superior ability of the proposed method in addressing practical problems.…”
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A novel hybrid fruit fly and simulated annealing optimized faster R-CNN for detection and classification of tomato plant leaf diseases by E. Gangadevi, Ben Othman Soufiane, Balamurugan Balusamy, Firoz Khan, Masresha Getahun

“…While there are existing methods to detect and classify these diseases, challenges such as image noise, hyper-parameter selection, and over-fitting can impede prediction accuracy. …”
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A Hybrid Deep Learning and Improved SVM Framework for Real-Time Railroad Construction Personnel Detection with Multi-Scale Feature Optimization by Jianqiu Chen, Huan Xiong, Shixuan Zhou, Xiang Wang, Benxiao Lou, Longtang Ning, Qingwei Hu, Yang Tang, Guobin Gu

“…The experimental results demonstrate that the ISVM method significantly improves accuracy and real-time performance compared to traditional detection methods and single deep learning models. …”
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MRI based early Temporal Lobe Epilepsy detection using DGWO based optimized HAETN and Fuzzy-AAL Segmentation Framework (FASF). by Hasim Khan, Ahmed Ibrahim Alutaibi, Ghanshyam G Tejani, Sunil Kumar Sharma, Ahmad Raza Khan, Fuzail Ahmad, Seyed Jalaleddin Mousavirad

“…Furthermore, an effective feature selection method is proposed using the Dipper- grey wolf optimization (DGWO) algorithm to improve the performance of the proposed model. …”
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A synergistic approach for enhanced eye blink detection using wavelet analysis, autoencoding and Crow-Search optimized k-NN algorithm by M. Chandralekha, N. Priyadharshini Jayadurga, Thomas M. Chen, Mithileysh Sathiyanarayanan, Kasif Saleem, Mehmet A. Orgun

“…Thus, the present work offers an optimal method of detecting the eye blink from the EEG signals assisting in the development of further EEG applications including user interfaces, fatigue level identification, and neurological disorders analysis through the enhancement of signal processing and optimization methods. …”
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A Planar Feature-Preserving Texture Defragmentation Method for 3D Urban Building Models by Beining Liu, Wenxuan Liu, Zhen Lei, Fan Zhang, Xianfeng Huang, Tarek M. Awwad

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Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach by David Agustriawan, Adithama Mulia, Marlinda Vasty Overbeek, Vincent Kurniawan, Jheno Syechlo, Moeljono Widjaja, Muhammad Imran Ahmad

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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

“…This study pioneers an innovative framework, using Multi-Scale Discriminative Robust Local Binary Pattern (MS-DRLBP) features, combined with a hybrid Convolutional Neural Network-Radial Basis Function (CNN-RBF) classifier, to enhance the detection of DR. Inspired by principles of randomization-based learning, our approach incorporates elements of stochastic modeling within the CNN-RBF architecture to optimize feature extraction and classification, mirroring the efficiency of non-iterative training processes. …”
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Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…The improved lightweight YOLO11n model is adaptable to edge computing devices, enabling tomato yield estimation while maintaining high detection accuracy. An optimized region tracking-counting method was proposed, combining target tracking and region detection to count the detected fruits. …”
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An Optimized Real-Time PCR to Avoid Species-/Tissue-Associated Inhibition for H5N1 Detection in Ferret and Monkey Tissues by LingJun Zhan, LinLin Bao, FengDi Li, Qi Lv, LiLi Xu, Chuan Qin

“…No statistically significant differences were found between the Ct values from the isolation methods. So the optimized SYBR Green real-time PCR could avoid species- or tissue-associated PCR inhibition in detecting H5N1 in ferret and monkey tissues, including lung and small intestine.…”
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Metaheuristic Optimized Edge Detection for Recognition of Concrete Wall Cracks: A Comparative Study on the Performances of Roberts, Prewitt, Canny, and Sobel Algorithms by Nhat-Duc Hoang, Quoc-Lam Nguyen

“…This study is aimed at establishing an image processing-based method for detecting cracks on concrete wall surfaces in an automatic manner. …”
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Reconstruction and Separation Method of Ranging and Communication Phase in Beat-Note for Micro-Radian Phasemeter by Tao Yu, Hongyu Long, Ke Xue, Mingzhong Pan, Zhi Wang, Yunqing Liu

“…Targeting the application of the micro-radian phasemeter in space-based gravitational wave detection, this study presents the reconstruction and separation method of the ranging and communication phase in beat-note, which also provides a new direction for the final selection of modulation depth in the future.…”
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Hybrid Feature-Based Disease Detection in Plant Leaf Using Convolutional Neural Network, Bayesian Optimized SVM, and Random Forest Classifier by Ashutosh Kumar Singh, SVN Sreenivasu, U.S.B. K. Mahalaxmi, Himanshu Sharma, Dinesh D. Patil, Evans Asenso

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Sampling and metabarcoding of arthropod environmental DNA traces from flowers by David Wari, Yoshinobu Kusumoto, Toshio Kitamura

“…Here, we adopted and optimized the method initially designed for aquatic environmental DNA analysis to supplement conventional methods in arthropod studies. • The optimized method showed that traces of arthropod eDNA materials on floral parts are detectable. • The eDNA technology can be used to generate qualitative data, especially data on the cryptic and unknown species of flowering plant-associated-natural enemies, that can supplement the quantitative data gathered from conventional methods.…”
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Enhanced IoT-Based Face Mask Detection Framework Using Optimized Deep Learning Models: A Hybrid Approach With Adaptive Algorithms by Parul Dubey, Pushkar Dubey, Celestine Iwendi, Cresantus N. Biamba, Deepak Dasaratha Rao

“…It combines the feature extraction capabilities of ResNet50 with the efficiency of MobileNetV2. The HFSO algorithm optimizes crucial parameters such as detection thresholds and learning rates. …”
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An Adaptive PSO Approach with Modified Position Equation for Optimizing Critical Node Detection in Large-Scale Networks: Application to Wireless Sensor Networks by Abdelmoujib Megzari, Walid Osamy, Bader Alwasel, Ahmed M. Khedr

“…In response to this challenge, we present a method based on particle swarm optimization (PSO) for the detection of critical nodes. …”
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