An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

“…The extracted features are then subjected to feature selection, where a meta-heuristic-based optimization algorithm called the Binary Golden Search Optimization algorithm (BGSO) is used. …”
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Classification and Identification Method of Power Equipment for Industrial Users Based on Harmonic Emission Level by Xingang YANG, Peng ZHANG, Yang DU, Aiqiang PAN, Qin XU

“…Using the power quality monitoring data of large industrial users, this paper proposes a classification and identification method of power equipment for industrial users based on the level of harmonic emission. Firstly, a detection method is proposed for industrial equipment switching events based on bilateral cumulative sum algorithm. …”
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Optimal Fuzzy Deep Neural Networks-Based Plant Disease Detection and Classification on UAV-Based Remote Sensed Data by M. Pajany, S. Venkatraman, U. Sakthi, M. Sujatha, Mohamad Khairi Ishak

“…The OFDNN-PDDC technique follows a three-stage process to enhance plant disease detection performance. At the primary level, the OFDNN-PDDC technique employs an improved ShuffleNetv2 model for learning complex and intrinsic feature patterns on the RS data. …”
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Image optimization method for ablation defects in high-voltage cable buffer layers based on X-ray detection technique by Baiyuan Liu, Weifeng Wang, Tengfei Liu, Zhen Xu, Xiangchen Kong, Xu Zhou, Yanan Cheng

“…The research optimizes the Speeded-Up Robust Features(SURF) detection algorithm by adjusting the Hessian matrix threshold to enhance sensitivity to low-contrast defects. …”
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Novel Spatio-Temporal Joint Learning-Based Intelligent Hollowing Detection in Dams for Low-Data Infrared Images by Lili Zhang, Zihan Jin, Yibo Wang, Ziyi Wang, Zeyu Duan, Taoran Qi, Rui Shi

“…Concrete dams are prone to various hidden dangers after long-term operation and may lead to significant risk if failed to be detected in time. However, the existing hollowing detection techniques are few as well as inefficient when facing the demands of comprehensive coverage and intelligent management for regular inspections. …”
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Novel Fault Detection Method for Rolling Bearings Based on Improved Variational Modal Decomposition Method by Xiaoli Huang, Haifeng Xu, Junying Cui

“…The experimental findings illustrate that the enhanced variational mode decomposition technique not only escalates the inner ring signal’s signal-to-noise ratio from −10.844 dB to 8.4471 dB and the outer ring signal’s ratio from −4.5852 dB to 3.0997 dB but also reduces the error of outer ring fault detection from 3.14% to 0.37%, and improves the frequency of inner ring fault detection from a feature extraction inability to an error frequency of 0.45%.…”
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Multi-target detection of underground personnel based on an improved YOLOv8n model by WEN Yongzhong, JIA Pengtao, XIA Mingao, ZHANG Longgang, WANG Weifeng

“…An innovative multi-target detection algorithm, YOLOv8n-MSMLAS, was proposed based on the YOLOv8n network structure. …”
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Proximal spinal muscular atrophy types I-IV: Specific features of molecular genetic diagnosis by V. V. Zabnenkova, E. L. Dadali, A. V. Polyakov

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Internet of things driven object detection framework for consumer product monitoring using deep transfer learning and hippopotamus optimization by Amnah Alshahrani, Mukhtar Ghaleb, Hany Mahgoub, Achraf Ben Miled, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Hasan Beyari, Sultan Alanazi

“…This article presents Object Detection with Holographic Visualization for Consumer products using a Hippopotamus Optimization Algorithm and Deep Learning (ODHVCP-HOADL) model. …”
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Deep learning-based crop health enhancement through early disease prediction by Venkata Santhosh Yakkala, Krishna Vamsi Nusimala, Badisa Gayathri, Sriya Kanamarlapudi, S. S. Aravinth, Ayodeji Olalekan Salau, S. Srithar

“…Leveraging the power of machine learning algorithms, particularly Convolutional Neural Networks (CNNs) and ResNet-9 architecture, this research seeks to transform the process of detecting plant diseases. …”
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Sustainable phytoprotection: a smart monitoring and recommendation framework using Puma Optimization for potato pathogen detection by Amal H. Alharbi, Faris H. Rizk, Khaled Sh. Gaber, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy, Pushan Kumar Dutta, Doaa Sami Khafaga

“…Ensuring sustainable and resilient agricultural systems in the face of intensifying crop disease threats requires intelligent, data-driven tools for early detection and intervention. This study proposes a novel hybrid framework for potato disease classification that integrates copula-based dependency modeling with a Restricted Boltzmann Machine (RBM), further enhanced through hyperparameter tuning using the biologically inspired Puma Optimization (PO) algorithm. …”
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Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal by Dongyang Zhao, Guoyong Su, Pengyu Wang

“…Firstly, the C3‐Fast feature extraction module, spatial pyramid pooling with cross‐stage partial connection (SPPCSPC) pooling module, bi‐directional feature pyramid network and lightweight decoupled detection head are used to optimize the YOLOv5s model, so as to construct the FSBD‐YOLOv5s multi‐object detection model. …”
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Efficient Image Processing Technique for Detecting Spatio-Temporal Erosion in Boron Nitride Exposed to Iodine Plasma by Ahmed S. Afifi, Janith Weerasinghe, Karthika Prasad, Igor Levchenko, Katia Alexander

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Graph-Theoretic Detection of Anomalies in Supply Chains: A PoR-Based Approach Using Laplacian Flow and Sheaf Theory by Hsiao-Chun Han, Der-Chen Huang

“…Based on Graph Balancing Theory, this study proposes an anomaly detection algorithm, the Supply Chain Proof of Relation (PoR), applied to enterprise procurement networks formalized as weighted directed graphs. …”
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Digital Edge Detection Based Pneumonia Detection in Chest Radiographs by Poola Rahul Gowtham, Kommineni Prema Teja, Lahari P.L, Yellampalli Siva Sankar

“…In response to the demand of pneumonia diagnosis, a digital detection algorithm utilizing chest X-ray images has been proposed. …”
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Canopy Segmentation of Overlapping Fruit Trees Based on Unmanned Aerial Vehicle LiDAR by Shiji Wang, Jie Ji, Lijun Zhao, Jiacheng Li, Mian Zhang, Shengling Li

“…To address the issue of low accuracy in traditional watershed segmentation methods based on canopy height models, this paper proposes an enhanced method to extract individual tree crowns in fruit orchards, enabling the improved detection of overlapping crown features. Firstly, a distribution curve of single-row or single-column treetops is fitted based on the detected treetops using variable window size. …”
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A Method for Predicting Coal-Mine Methane Outburst Volumes and Detecting Anomalies Based on a Fusion Model of Second-Order Decomposition and ETO-TSMixer by Qiangyu Zheng, Cunmiao Li, Bo Yang, Zhenguo Yan, Zhixin Qin

“…This framework improves sensitivity to sudden feature changes and detection robustness through a weighted fusion strategy of global trends and residual anomalies. …”
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Open vocabulary detection for concealed object detection in AMMW image by Chenjiang Jiang, Chunyu Li, Xuejun Zhao

“…Therefore, this paper proposes a novel open vocabulary detection algorithm: Open-MMW, capable of recognizing more diverse and untrained objects. …”
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Method of joint wavelet thresholding and F-NLM de-noising for high-resolution SAR ship detection by Liang TONG, Dan LIU, Zhongbo PENG, Han ZOU, Lumeng WANG, Chunyu ZHANG

“…Next, a YOLOv7 detection algorithm combined with a bi-directional feature pyramid network (Bi-FPN) is selected to effectively aggregate the multi-scale features and further improve the model's accuracy. …”
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Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection by Jayakumar Kaliappan, Revathi Thiagarajan, Karpagam Sundararajan

“…The feature selection is done with the help of genetic algorithm. …”
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