An elegant intellectual engine towards automation of blockchain smart contract vulnerability detection by Balachandar Raju, Gayathri Devi K

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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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Innovative Sandia Frequency Shift Islanding Detection for Microgrids Using Interval Type-II Fuzzy Logic and VP-PSO Optimization by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yeonwoo Lee, Sun-Kyoung Kang, Ilhami Colak, El Manaa Barhoumi, Kei Eguchi

“…This paper presents an innovative islanding detection method (IDM) that combines interval type-2 fuzzy logic with the Sandia frequency shift (SFS) technique for enhanced microgrid protection. …”
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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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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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Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah, Samah Al Zanin

“…This manuscript presents an Enhance Malicious Domain Detection Using an Attention-Based Deep Learning Model with Optimization Algorithms (EMDD-ADLMOA) technique. …”
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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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Hybridization of deep learning models with crested porcupine optimizer algorithm-based cybersecurity detection on industrial IoT for smart city environments by Sarah A. Alzakari, Mohammed Aljebreen, Mashael M. Asiri, Wahida MANSOURI, Sultan Alahmari, Mohammed Alqahtani, Shaymaa Sorour, Wafi Bedewi

“…To accomplish that, the CCPOA-HDLM method comprises distinct processes such as min-max normalization, improved Salp swarm algorithm (ISSA)-based feature selection, Multi-Channel Convolutional Neural Network - Recurrent Neural Network (MCNN-RNN)-based cybersecurity detection, and crested porcupine optimizer (CPO)-based parameter selection process. …”
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Simulated fire observables as indicators for optimizing wireless sensor networks in wildfire risk monitoring by Juan Luis Gómez-González, Effie Marcoulaki, Alexis Cantizano, Myrto Konstantinidou, Raquel Caro, Mario Castro

“…This work presents a simulation-driven optimization framework for localizing WSNs to enhance early wildfire detection and minimize potential damage. …”
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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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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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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

“…For P-phase detection, we apply four modules: single denoising (band-filter), fast searching (STA/LTA and peak value), accurately picking (AIC), and optimization selection (time difference of arrival time and envelope circle judgment). …”
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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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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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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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An intelligent object detection and classification framework for assisting visually challenged persons using deep learning and improved crow search optimization by Alaa O. Khadidos, Ayman Yafoz

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A novel lightweight deep learning framework using enhanced pelican optimization for efficient cyberattack detection in the Internet of Things environments by Yaozhi Chen, Yan Guo, Yun Gao, Baozhong Liu

“…To counter these challenges, the current study proposes a hybrid model incorporating an efficient convolutional neural network (CNN) and an enhanced pelican optimization algorithm (EPOA) to detect IoT network attacks. …”
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High-speed threat detection in 5G SDN with particle swarm optimizer integrated GRU-driven generative adversarial network by R. Shameli, Sujatha Rajkumar

“…The DL model integrates the Particle Swarm Optimizer-Gated Recurrent Unit Layer-Generative Adversarial Network-Intrusion Detection System classifier (PSO-GRUGAN-IDS). …”
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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

“…These findings highlight the effectiveness of combining diverse image features with bio-inspired optimization techniques for plant disease detection and offer a promising direction for future research and deployment in intelligent agricultural monitoring systems.…”
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