A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…We propose a lightweight algorithm for detecting surface defects on ceiling fan blades using YOLOv8s, incorporating optimizations and enhancements in model pruning and knowledge distillation. …”
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Fault Detection for the Scraper Chain Based on Vibration Analysis Using the Adaptive Optimal Kernel Time-Frequency Representation by Xing Zhang, Wei Li, Zhencai Zhu, Shanguo Yang, Fan Jiang

“…Subsequently, the DTSM-based vibration responses of the chute under different operating conditions are obtained. In this paper, the proposed strategy is employed to determine the occurrence of chain faults by amplitude comparisons, while failure patterns are distinguished by the adaptive optimal kernel time-frequency representation (AOKR).…”
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Optimizing drone-based pollination method by using efficient target detection and path planning for complex durian orchards by Ruipeng Tang, Jianxun Tang, Mohamad Sofian Abu Talip, Narendra Kumar Aridas, Binghong Guan

“…The novel use of GhostNet with YOLO-v8 enables superior detection of durian flowers under low-light and occluded conditions, while EN-TSP ensures globally optimal drone routes, reducing travel distance and improving operational reliability. …”
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Using the optimal combined index weight ratio to improve the probability of anomaly detection in big area additive manufacturing by Monique S. McClain, Dhrubajit Chowdhury, Omar Eldaghar, Kris Villez

“…We show that approach 1 delivers optimal anomaly detection performance in select cases while approach 2 fares better in practice. …”
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Oxygen vacancy-rich engineering-optimized molybdenum trioxide microbelts for room-temperature ppb-level trimethylamine detection by Kaidi Wu, Zhijie Xu, Kaichun Xu, Jinyong Xu, Yifan Luo, Marc Debliquy, Chao Zhang

“…Owing to the synergistic effects of a large specific surface area, surface oxygen vacancies, and an optimized electronic structure, exceptional trimethylamine (TMA) sensing performance richs oxygen vacancy-MoO3 (MoO3−x-R), including notably high response, rapid response/recovery, high selectivity, a low limit of detection (400 ppb), and reliable operational stability, was achieved. …”
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A deep learning approach to detect diseases in pomegranate fruits via hybrid optimal attention capsule network by P. Sajitha, A. Diana Andrushia, N. Anand, M.Z. Naser, Eva Lubloy

“…So this approach offers a framework, which is a feasible solution for automated detection of diseases in fruits, thereby benefiting farmers and supporting their farming operations.…”
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Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review by Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian

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Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization by R. Gopi, V. Thiruppathy Kesavan, Md. Jakir Hossen, Nor Hidayati Binti Abdul Aziz

“…The evolutionary based optimization effectively tuned the hyper parameters of the DL model which will improve the detection accuracy. …”
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Tackling the Optimal Phasor Measurement Unit Placement and Attack Detection Problems in Smart Grids by Incorporating Machine Learning by Ramzi Al-Sharawi, Abdelfatah Ali, Mostafa Shaaban, Nasser Qaddoumi, Mohamed S. Abdalzaher

“…These results highlight the success of our framework in concurrently optimizing attack detection performance, topological observability, and system cost.…”
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Optimizing UAV performance with IoT and fuzzy linear fractional transportation models by Samaher Al-Janabi, Nawras G. Seyhood

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Optimized Case Finding of tuberculosis among key populations in Ukraine. A follow up study by Masiuk Liliia, Evgenia Geliukh, Zahedul Islam, Hayk Davtyan

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Optimization of the Traceability of Perishable Products Through Light Blockchain and IoT in the Food Industry by William Villegas-Ch, Jaime Govea, Pablo Santiago Moncayo-Moncayo, Alexandra Maldonado Navarro, Carlos Chavez-Pirca

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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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Wind Turbine Blade Fault Detection Method Based on TROA-SVM by Zhuo Lei, Haijun Lin, Xudong Tang, Yong Xiong, He Wen

“…This method integrates the Tyrannosaurus Optimization Algorithm (TROA) with a support vector machine (SVM), aiming to enhance the accuracy and reliability of fault detection. …”
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Early Fault Detection in Electro-Pneumatic Actuators using Mathematical Modelling and Machine Learning: A Bottling Company Case Study by Samuel Olufemi Amudipe, Adeyinka Moses Adeoye, Aderonke Oluwaseunfunmi Akinwumi, Rotimi Adedayo Ibikunle, Segun Adebayo

“…This study provides essential information for industrial optimization policies through operational efficiency measures that demonstrate global significance for predictive maintenance systems. …”
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Detecting soil mixing, grain size distribution, and clogging potential of tunnel excavation face by classification-regression algorithms using EPBM operational data by Sharmin Sarna, Marte Gutierrez

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NID-DETR: A novel model for accurate target detection in dark environments by Qingyuan Pan, Qiang Liu, Wei Huang

“…Finally, in the target detection output layer, we adopt strategies to reduce concatenation operations and optimize small object detection heads to decrease the model parameter count and improve precision. …”
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Covert Underwater Acoustic Communication Using Marine Ambient Noise Without Detectable Features by Biao Liu, Jianchun Huang, Ning Jia, Biao Wang, Shengming Guo

“…Learning from steganography, this study considers ocean ambient noise as a carrier and proposes a covert underwater acoustic communication scheme without detectable and repetitive features. We modulate the information in the parameters of the steganography operation rather than the specific signal waveforms. …”
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FDIA Detection in Power Grid Based on Opposition-Based Whale Optimization Algorithm and Multi-layer Extreme Learning Machine by Lei XI, Yixiao WANG, Miao HE, Chen CHENG, Xilong TIAN

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Real-Time Drilling Performance Optimization Using Automated Penetration Rate Algorithms with Vibration Control by Dan Sui

“…This paper presents a model-based optimization strategy tailored for automated drilling operations, focusing on maximizing performance while maintaining operational safety. …”
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