Density-Based Detection Rapid Exploration Random Tree for Multirobot Formation Cooperative Path Planning by Yuzhuo Shi, Yang Yang, Jinjun Liu, Kun Hao, Jiale Zhao, Haoyi Chai

“…First, on the basis of the rapidly exploring random tree (RRT), a density detection rapidly exploring random tree (DDRRT) algorithm is designed to avoid repeated exploration of by the RRT, to quickly generate a global path from the starting point to the destination for the leader robot, and to propose a rope shrinkage path optimization mechanism for path optimization. …”
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SmartRipen: LSTM-GRU feature selection& XGBoost-CNN for fruit ripeness detection by Archana Ganesh Said, Bharti Joshi

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Advances in methods for evaluating anti-wrinkle efficacy in the periocular and perioral areas by TAN Huiling, LV Hua, WEN Si, YE Li, LIU Zhenfeng

“…This paper systematically reviews the research progress of subjective assessment methods and objective analysis methods (such as 3D skin detection, dynamic facial expression capture, biomarker detection), focusing on the innovative application of AI algorithms in wrinkle classification and quantification, as well as the potential of the integration of multimodal technologies (such as AI+3D imaging+biomechanical testing) to enhance the reliability of the evaluation. …”
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Water Body Detection Using Sentinel-2 Imagery Through Particle Swarm Intelligence: A Novel Framework for Optimizing Spectral Multi-Band Index by Baydaa Ismail Abrahim, Ammar Abd Jasim, Mohammed Riyadh Mahmood, Hassanein Riyadh Mahmood, Hayder A. Alalwan, Malik M. Mohammed

“…This paper proposes a new approach by incorporating Particle Swarm Optimization with a Spectral Multi-Band Water Index for the enhanced detection of water bodies using Sentinel-2 imagery. …”
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Liquid chromatography-high resolution mass spectrometry based analysis of persistent mobile organic compounds in aqueous samples: Method development and optimization by Kyriaki Anagnostopoulou, Vasileios Alampanos, Eleni Evgenidou, Dimitra A. Lambropoulou

“…This study addresses these challenges by developing and optimizing a robust method for PMOC detection, integrating solid-phase extraction with liquid chromatography-high resolution mass spectrometry (SPE-LC-HRMS). …”
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COMPARATIVE ANALYSIS OF STANDARD AND ENHANCED SWARM INTELLIGENT DEEP BELIEF NETWORK ON MAIZE DISEASE DETECTION by Kehinde Sotonwa, Adebisi Oluwatosin, Adesesan Adeyemo, Micheal Adenibuyan

“…Hence, there is need for improvement to develop a more efficient model for plant diseases detection and classification using Deep Belief Network with Improved Particle Swarm Optimization (DBN-IPSO). …”
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Life prediction of the tensile damage progress for high-speed train gearbox shell based on acoustic emission sensor and an automatic optimization method by Yibo Ai, Chang Sun, Weidong Zhang

“…For the short tensile process leading to significant amount of damage, a real-time and non-destructive detection method has been used to monitor the tensile damage progression and predict the residual life of the material. …”
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Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method by Ghassan A. Bilal, Abdullateef A. Jadallah, Omayma M. Abdulmajeed, Müslüm Arıcı

“…This paper aims to utilize soft computing techniques in predicting the outlet fluids’ temperatures for monitoring based on the experience of outdoor experiments. The optimization was conducted using the Particle Swarm Optimization method to decide the rules of the Fuzzy Logic Controller. …”
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A novel method using body surface steel ball as a reference scale to measure the left atrial appendage for optimal selection of Watchman device by He Jin, Mingjun Feng, Xianfeng Du, Binhao Wang, Yibo Yu, Guohua Fu, Caijie Shen, Huimin Chu

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Optimization of color protection process conditions and quality analysis of fermented green Capsicum frutescens by ZHANG Lu, WANG Xiujun, HE Chunxia, HU Rongnian, CHEN Yanlin

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Development of an internalin-based double-antibody sandwich quantitative ELISA for the detection of Listeria monocytogenes in slaughterhouse environments by Qing Cao, Wenjing Shi, Yanquan Wei, Jiayu Wang, Zhonglong Wang, Qian Chong, Qianqian Guo, Kunzhong Zhang, Wenyan Gai, Huitian Gou, Huiwen Xue

“…The antibody pair 1D2-2H10 was selected for use in the sandwich ELISA format. Optimization of the DAS-qELISA method was carried out to determine its detection limits for InlG protein and L. monocytogenes.ResultsThe detection limits of the method were determined to be 32 ng/mg for the InlG protein and 7875.83 CFU/mL for L. monocytogenes. …”
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Optimization of saccharification culture process and analysis of volatile flavor components of Qingchuan Huangjiu by REN Xiaohu, ZHU Ying, CHEN Lei, YANG Anting, GONG Hucheng, TIAN Shulin, BIAN Minghong, XU Qiang, HAN Baolin

“…The physicochemical indexes of Qingchuan Huangjiu were determined by national standard method, and the volatile flavor components were detected by GC-MS. …”
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Precise Feature Removal Method Based on Semantic and Geometric Dual Masks in Dynamic SLAM by Zhanrong Li, Chao Jiang, Yu Sun, Haosheng Su, Longning He

“…To address the issue of unstable feature points within dynamic regions, this study proposes a robust dual-mask filtering strategy that synergistically integrates semantic segmentation information with geometric outlier detection techniques. The proposed method first identifies outlier feature points through rigorous geometric consistency checks, then employs morphological dilation to expand the initially detected dynamic regions. …”
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Research on Rapid and Non-Destructive Detection of Coffee Powder Adulteration Based on Portable Near-Infrared Spectroscopy Technology by Fujie Zhang, Xiaoning Yu, Lixia Li, Wanxia Song, Defeng Dong, Xiaoxian Yue, Shenao Chen, Qingyu Zeng

“…For quantitative detection, two optimization algorithms, Invasive Weed Optimization (IWO) and Binary Chimp Optimization Algorithm (BChOA), were used for the feature wavelength selection. …”
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Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images by Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey

“…With the rapid advancement of satellite remote sensing technology, high-resolution optical remote sensing images have become increasingly crucial for monitoring energy infrastructure. Traditional change detection methods identify land-use and land cover variations over time, while image retrieval extracts pertinent information from large datasets. …”
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Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression by Lv Yingming, Yuan Wenping

“…In this paper, a vehicle-mounted vehicle exhaust gas detection device is designed and a sensor temperature and humidity compensation method based on Support Vector Regression (SVR), Sine Cosine Algorithm(SCA) and Particle Swarm Optimization (PSO) is proposed. …”
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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

“…The primary goal of the CREA-HDLMOA technique is to advance an effective method for DDoS attack detection using advanced optimization algorithms. …”
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Automated fluid monitoring to optimize the follow-up of neovascular age-related macular degeneration patients in the Brazilian population by Virginia Mares, Gregor S. Reiter, Aniel Feitosa, Markus Gumpinger, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Marcio B. Nehemy

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Neural Network Ensemble Method for Deepfake Classification Using Golden Frame Selection by Khrystyna Lipianina-Honcharenko, Nazar Melnyk, Andriy Ivasechko, Mykola Telka, Oleg Illiashenko

“…This study uses the golden frame selection technique to present a neural network ensemble method for deepfake classification. The proposed approach optimizes computational resources by extracting the most informative video frames, improving detection accuracy. …”
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A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach by Srikanth Meda, Vangipuram Sesha Srinivas, Killi Chandra Bhushana Rao, Repudi Ramesh, Narasimha Rao Yamarthi

“…Deep Learning (DL), which can precisely learn the intrinsic features of the websites and recognize phishing websites, is one of the innovative techniques utilized to solve this issue. Methods In this study, we proposed a novel OptSHQCNN phishing detection method. …”
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