Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…The main objective of the SAMFL-SCDCOA methodology is to provide an effective method for preventing cyberattacks in real time using FL and advanced optimization algorithms. …”
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A bio-inspired framework for apple leaf disease detection: Integrating lesion localization, ant colony optimization, and machine learning by Xiaolong Li, Feifan Huang, Haotian Sun, Jiayu He, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…The proposed method comprises five key steps: (1) background removal from leaf images, (2) diseased area detection, (3) extraction of texture, color, and shape features, (4) feature selection using ACO to identify the most informative attributes, and (5) disease classification using a support vector machine (SVM) classifier. …”
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A Multidimensional Parameter Dynamic Evolution-Based Airdrop Target Prediction Method Driven by Multiple Models by Xuesong Wang, Jiapeng Yin, Jianbing Li, Yongzhen Li

“…Additionally, under wind field detection errors, the linear prediction method demonstrates stronger robustness. …”
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A Bootstrapping Convolutional Neural Network Technique for Optimizing Automated Detection of Equatorial Plasma Bubbles by Optical All‐Sky Imagers by Daniel Okoh, Claudio Cesaroni, Babatunde Rabiu, Kazuo Shiokawa, Yuichi Otsuka, Samuel Ogunjo, Aderonke Akerele, John Bosco Habarulema, Bruno Nava, Yenca Migoya‐Orué, Punyawi Jamjareegulgarn, Adeniran Seun, Ogechi Adama, George Ochieng, James Ameh, Adero Awuor, Paul Baki

“…This study presents a novel bootstrapping convolutional neural network (CNN) approach to optimize automated EPB detection on ASI images for operational space weather monitoring applications, and overcoming challenges related to image variability and imbalanced data sets. …”
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P4CN-YOLOv5s: a passion fruit pests detection method based on lightweight-improved YOLOv5s by Zhiping Tan, Zhiping Tan, Dapeng Ye, Jiancong Wang, Wenxiang Wang

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Integrated Time Series Analysis, Clustering, and Forecasting for Energy Efficiency Optimization and Tariff Management by Anderson Jhones Passos Nascimento, Menaouar Berrehil El Kattel, Jose Antonio Fernandes de Macedo, Fernando Luiz Marcelo Antunes

“…Additionally, the study incorporates consumption forecasting methods to estimate the behavior of new consumer units or those with limited historical data, optimizing the definition of contracted demand and promoting energy efficiency. …”
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A Multistep Method for Automatic Determination and Optimization of Microseismic P-Phase Arrival Times in a Coal Mine by Quanjie Zhu, Xiaohui Liu, Xiaoyun Liu, Haitao Chai, Jianjun Shi

“…This method is applied for a precise determination of P-phase arrival time; in addition, an automatic quality estimate is obtained to optimize and select the effective stations and used for source location. …”
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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…Traditional methods also lack the ability to capture complete vehicle path information essential for signal optimization. …”
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An Intrusion Detection System Based on Deep Learning and Metaheuristic Algorithm for IOT by Bahman Sanjabi, Mahmood Ahmadi

“…In this paper, a method is presented that uses meta-heuristic algorithms such as genetic algorithm, particle swarm optimization, artificial bee colony and gray wolf to find the optimal hyperparameters for the deep learning network and the intrusion detection system is created based on these hyperparameters. …”
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Vibration Analysis and Vehicle Detection by MEMS Acceleration Sensors Embedded in PCC Pavement by Congyi Chang, Linghui Kong, Libin Han, Junmin Li, Shuo Pan, Ya Wei

“…This study embedded micro-electro-mechanical systems (MEMS) accelerometer sensors in PCC pavement to capture vibration signals induced by vehicles. A thresholding method is proposed to automate vehicle detection by analyzing acceleration time-domain data, achieving precision and recall rates exceeding 85%. …”
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High resistance fault detection in DC microgrid using Hilbert Huang transform and vector-based ensemble optimized LSTM networks by H. K. Prashanth Kumar, Ritesh Dash, K. Jyotheeswara Reddy, Nageswara Rao Atyam, Bhabasis Mohapatra

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Development, Optimization, and Validation of a Quantitative PCR Assay for <i>Borrelia burgdorferi</i> Detection in Tick, Wildlife, and Human Samples by Julie Lewis, Vett K. Lloyd, Gilles A. Robichaud

“…Advancements in detection methods lead to a better surveillance of <i>Borrelia</i> in vectors and hosts, and, ultimately, enhance human and animal health.…”
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Optimization for Rapid Detection of E. coli O157:H7 Using Real-Time Loop-Mediated Isothermal Amplification by Alaleh Valiallahi, Mehdi Zeinoddini, Shirin Jalili

“…Therefore, devising a rapid, highly sensitive, and convenient detection technique for this species is crucial. In this work, we optimized a colorimetric Loop-mediated isothermal amplification (LAMP) for detecting the intimin gene from E. coli O157:H7. …”
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Enhanced anomaly network intrusion detection using an improved snow ablation optimizer with dimensionality reduction and hybrid deep learning model by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Sami Saad Albouq, Mutasim Al Sadig

“…The experimental assessment of the EAID-OADRHM approach portrayed a superior accuracy value of 99.46% over existing methods in the anomaly intrusion detection process.…”
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Optimizing Artificial Intelligence Thresholds for Mammographic Lesion Detection: A Retrospective Study on Diagnostic Performance and Radiologist–Artificial Intelligence Discordance... by Taesun Han, Hyesun Yun, Young Keun Sur, Heeboong Park

“…<b>Methods</b>: We retrospectively analyzed 194 mammograms (76 BI-RADS 4A and 118 BI-RADS 4B/4C) using FDA-approved AI software. …”
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An elegant intellectual engine towards automation of blockchain smart contract vulnerability detection by Balachandar Raju, Gayathri Devi K

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A review: Multi-Objective Algorithm for Community Detection in Complex Social Networks by Mariwan Wahid Ahmed, Kamaran Faraj

“…Recently, research on multi-objective optimization algorithms for community detection in complex networks has grown considerably. …”
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Research on Initial Position Detection of Rotor Magnetic Field for Permanent Magnet Synchronous Motor by WANG Zhengyu, CHEN Jianming, TAN Miao

“…Because this method is not easy to implement, two automatic optimization methods are given as well as the experimental results, which indicates that current change rate method is feasible.…”
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Synergistic Impact of Active Case Detection and Early Hospitalization for Controlling the Spread of Yellow Fever Outbreak in Nigeria: An Epidemiological Modeling and Optimal Contro... by Nawaf L. Alsowait, Mohammed M. Al-Shomrani, Ismail Abdulrashid, Salihu S. Musa

“…This study explores the synergistic effects of active case detection (ACD) and early hospitalization on controlling YF transmission dynamics. …”
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Validation of the Distress Thermometer for detecting psychological distress in patients with stable chronic obstructive pulmonary disease: optimal cut-off score and influencing fac... by Xu Tian, Xiaoling Liu, Xiuni Gan, Maria F. Jimenez-Herrera, Hongcai Shang, Yi Ren

“…The Distress Thermometer (DT), originally developed for cancer patients, is a brief screening tool for detecting psychological distress. However, the optimal cut-off in COPD patients remains unclear. …”
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