Method development and clinical validation of LAMP-CRISPR/Cas12a for rapid detection of respiratory pathogens in children by Siyan Zhou, Xin Zhao, Fanzheng Meng, Fanzheng Meng

“…A total of 23 specimens, including bronchoalveolar lavage fluid and nasopharyngeal swab samples, were assessed to evaluate the feasibility and performance of the method. After nucleic acid extraction, samples underwent LAMP amplification followed by CRISPR-Cas12a-mediated fluorescence detection.ResultsThe LAMP-CRISPR/Cas12a method demonstrated high sensitivity and specificity for SP detection. …”
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A pregeneration–recognition method of detecting weak seafloor echoes for full-waveform airborne LiDAR bathymetry by Yadong Guo, Wenxue Xu, Yanxiong Liu, Fanlin Yang, Xue Ji, Yikai Feng, Qiuhua Tang

“…However, weak seafloor echoes in full-waveform data induced by environmental and device characteristics are confused with noise signals, leading to difficulties in seafloor detection. This paper proposes a pregeneration–recognition method of detecting weak seafloor echoes for ALB. …”
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Landslide Detection in Long-Term and Low-Coherence Scenario Using Faster Intermittent Stacking InSAR Method by Huayan Dai, Lixin Wu, Yunping Liao, Lichuan Chen, Yong Yang

“…In this study, we present an optimized time-series InSAR method called intermittent Stacking (IStacking), which allows rapid calculation of high-coverage deformation and detection of landslides in long-term and low-coherence scenarios. …”
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YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8 by Zuxing Chen, Junjie Feng, Xueyan Zhu, Bin Wang

“…A lightweight wood surface defect detection method, YOLOv8-OCHD, based on deep learning models, is proposed. …”
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Exploring the standardized detection and sampling methods of human nasal SARS-CoV-2 RBD IgA by Xuanxuan Zhang, Xuanxuan Zhang, Jizong Jia, Chaoying Hu, Chaoying Hu, Yulong Fu, Guanxing Liu, Yajing Li, Qian He, Qian He, Fan Gao, Fan Gao, Na Li, Lina Wang, Jianping Chu, Henggang Xu, Zhihao Fu, Zhihao Fu, Hui Zhao, Hui Zhao, Zhenglun Liang, Zhenglun Liang, Jingxin Li, Miao Xu, Miao Xu, Qunying Mao, Qunying Mao

“…However, a lack of standardized nasal antibody detection and sampling methods has hindered cross-study comparability and vaccine development.MethodsThis study uses SARS-CoV-2 as a model pathogen to standardize nasal antibody detection methods and sampling methods. …”
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Deep learning-based anomaly detection for precision field crop protection by Cheng Wei, Yifeng Shan, MengZhe Zhen

“…Traditional methods struggle with the complexity and variability of agricultural data collected from diverse sources.MethodsTo address these challenges, we propose a novel framework that integrates the Integrated Multi-Modal Smart Farming Network (IMSFNet) with the Adaptive Resource Optimization Strategy (AROS). …”
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Optimizing Selection of Brown Bear Hair for Noninvasive Genetic Analysis by Aaron J. Wirsing, Thomas P. Quinn, Jennifer R. Adams, Lisette P. Waits

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Establishment and optimization of a system for the detection of Candida albicans based on enzymatic recombinase amplification and CRISPR/Cas12a system by Xiaotong Zeng, Qiuyang Jiang, Fo Yang, Qianlin Wu, Tingyao lyu, Qi Zhang, Jin Wang, Feng Li, Dayong Xu

“…In this study, we proposed three amplification methods to combine with CRISPR/Cas12a and selected the enzymatic recombinase amplification (ERA) and CRISPR/Cas12a two-step method for the detection of C. albicans in terms of sensitivity, and then the two-step method was optimized to a temperature-controlled one-step method for the detection of C. albicans by enzymatic recombinase amplification (ERA)-CRISPR/Cas12a. …”
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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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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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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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An advanced fire detection system for assisting visually challenged people using recurrent neural network and sea-horse optimizer algorithm by Fahd N. Al-Wesabi, Abeer A. K. Alharbi, Ishfaq Yaseen

“…The main intention of the SFDAB-ARNNSHO method is to detect and classify fire for blind people. …”
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Optimized AI and IoT-Driven Framework for Intelligent Water Resource Management by Mahmoud Badee Rokaya Mahmoud, Dalia Ismaeil Ibrahim Hemdan, Samah Hazzaa Alajmani, Raneem Yousif Alyami, Ghada Elmarhomy, Hassan Hashim, El-Sayed Atlam

“…By virtue of the empirical validation and comparative analysis of the framework, it has been shown to perform better than the regular methods, proving that the methodology can act as a step forward in the field of real-time, AI-assisted irrigation and leak detection systems.…”
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Optimization and Validation of RP-HPLC-UV/Vis Method for Determination Phenolic Compounds in Several Personal Care Products by Mohammed Akkbik, Zaini Bin Assim, Fasihuddin Badruddin Ahmad

“…An HPLC method with ultraviolet-visible spectrophotometry detection has been optimized and validated for the simultaneous determination of phenolic compounds, such as butylated hydroxyanisole (BHA) and butylated hydroxytoluene (BHT) as antioxidants, and octyl methyl cinnamate (OMC) as UVB-filter in several personal care products. …”
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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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Numerical Optimization of Non-destructive Ultrasonic Testing in Identifying Defects in Composite Structure of Pine Tree Trunk by Mohammadreza Sheakholeslami, Mahdi Bayat Kazazi, Abbas Amoochi, Siamak Mazdak, Mohammad Reza Ghaderi, Mehdi Zeighami Salimabad

“…So, the location of the defects is detected according to the amplitude of signals received in three points according to the method described in the paper. …”
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A novel cluster of improved frilled lizard optimization and multi-ladder gated networks for the detection of cyber-attacks in computer networks by Vandana Dharmapuri, Sushama Rani Dutta

“…These methods are utilized to create an intelligent framework structured to defend against both known and unknown threat patterns. …”
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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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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

“…Artificial intelligence (AI) is applied to develop the areas of malicious domain recognition and hindrance by the probability to improve robust, efficient, and scalable malware detection units. AI methods have expressed significant results in malicious domain detection. …”
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