A novel external online calibration system for polarization detection by Li Zishuo, He Honghui, Wu Jian

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Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images by Fabian Lecron, Sidi Ahmed Mahmoudi, Mohammed Benjelloun, Saïd Mahmoudi, Pierre Manneback

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Development of Eccentric Transmitter Transducer for LWD Acoustic Remote Detection by SUN Zhifeng, QIU Ao, LIU Xien, LUO Bo, LI Jie, ZHAO Han

“…The third-order bending vibration mode enabled directional energy radiation toward a specific side of the drill collar, fulfilling the requirements of low-frequency high-energy emission and asymmetric radiation for LWD acoustic remote detection. This transducer provides an effective solution for LWD acoustic remote detection, though future work should focus on optimizing high-temperature/high-pressure encapsulation and structural parameters.…”
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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security by Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad

“…Therefore, it is necessary to find an efficient method for solving the problem by using classification with an intrusion detection system which analyzes enormous amounts of traffic data. …”
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Electronic Nose Humidity Compensation System Based on Rapid Detection by Minhao Cai, Sai Xu, Xingxing Zhou, Huazhong Lu

“…This method enhanced the average resolution of the electronic nose in this trial from 87.7% to 99.3%, a 12.4% improvement, demonstrating the efficacy of the humidity compensation system based on rapid detection for the electronic nose. …”
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Study on PV Defect Detection Based on CWE YOLOv8 by Xiaojuan Zhang, Ruixu Yao, Bo Jing, Xiaoxuan Jiao, Mengdi Ren

“…This study proposes an enhanced photovoltaic panel defect detection method based on an optimized YOLOv8 model, addressing common defects like scratches, broken grids, and dirt. …”
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Implementation of YOLOv7 Model for Human Detection in Difficult Conditions by Arijal B, Andi Sunyoto, M. Hanafi

“…This model has higher accuracy, precision, and F1-score than the other models, making it a reliable choice for human detection in difficult scenarios. These findings not only demonstrate the relevance of YOLOv7 as a reliable human detection algorithm, but also provide a basis for further optimization of YOLOv7-based human detection systems, both through improving the model architecture and adapting to more specific datasets. …”
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Automatic detection and counting of wheat spike based on DMseg-Count by Hecang Zang, Yilong Peng, Meng Zhou, Guoqiang Li, Guoqing Zheng, Hualei Shen

“…In summary, the proposed DMseg-Count model can effectively detect wheat spike and has good counting performance, which provides a new method for automatic counting of wheat spike and yield prediction in complex field environments.…”
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A Spectral Editing Technique Based on Optimized Control of Nuclear Spin to Realize Lactate Signal Selection by SHAO Zhengze, WANG Xingle, YANG Xue, XIN Jiaxiang, WEI Daxiu, YAO Yefeng

“…Here we propose a new method for selectively filtering lactate signals, which uses optimized control pulses to specifically transform the four hydrogen protons on the methyl and methine of lactate molecules into a two-spin Zeeman order, achieving efficient and highly selective detection of the methyl signal of lactate. …”
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STARMAP: Spaceborne Target Acquisition Radar With Meta-RL Assisted Placement by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

“…The urgent requirement to monitor and identify unmanned aerial systems (UASs) within restricted airspace has become increasingly critical. Traditional methods fail to detect low-observable (LO) UASs effectively, thus presenting considerable threats in defense and civil sectors. …”
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A systematic survey: role of deep learning-based image anomaly detection in industrial inspection contexts by Vinita Shukla, Amit Shukla, Surya Prakash S. K., Shraddha Shukla

“…The intelligence of an industrial automation system is directly linked to its ability to detect and rectify abnormalities, thereby maintaining optimal performance. …”
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THE DEVELOPMENT AND VALIDATION OF IDENTIFICATION METHODS OF LORATADINE TABLETS by D. B. Korobko, O. B. Poliak, L. S. Logoida, N. O. Zarіvna, O. V. Sem’ianіv

“…We have investigated various mobile phases (solvent system) in order to identify the optimal choice of loratadine in tablets by TLC. For the purpose of methods for loratadine identification in other solvent systems, we have investigated the sensitivity detection of loratadine in them. …”
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Research on formant estimation algorithm for high order optimal LPC root value screening by Hua LONG, Shumeng SU

“…In terms of the robustness of the algorithm and the overall performance comparison of different methods,the proposed algorithm can extract the formant robustly from order 9 to 22, and the model algorithm shows the optimal performance when the formant is extracted from order 18. …”
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Power Quality Assessment and Optimization in FUZZY-Driven Healthcare Devices by Dinesh Kumar Nishad, Saifullah Khalid, Rashmi Singh

“…This paper introduces an innovative FUZZY-driven energy management system that combines convolutional neural networks (CNNs) for real-time power quality event detection, long short-term memory (LSTM) networks for predictive analytics, and reinforcement learning for optimized control. …”
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A Deep Learning-Based Algorithm for Ceramic Product Defect Detection by Junxiang Diao, Hua Wei, Yawei Zhou, Zhihua Diao

“…In the field of ceramic product defect detection, traditional manual visual inspection methods suffer from low efficiency and high subjectivity, while existing deep learning algorithms are limited in detection efficiency due to their high complexity. …”
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Automatic Recognition and Replacement of Cyclic Redundancy Checks for Program Optimization by Mariam Arutunian, Sevak Sargsyan, Matevos Mehrabyan, Lilit Bareghamyan, Hayk Aslanyan

“…This paper presents a novel method for automatic recognition and replacement of bitwise CRC implementations with more optimized alternatives. …”
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Brain image clustering by wavelet energy and CBSSO optimization algorithm by Mohammad Sedaghat, Hasan Hosseinzadeh

“…This paper suggests a new method based on wavelet energy to automatically classify magnetic resonance imaging (MRI) brain images into two groups (normal and abnormal), utilizing support vector machine (SVM) classification based on chaotic binary shark smell optimization (CBSSO) to optimize the SVM weights. …”
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Overview of Deep Learning Algorithms and Optimizers for Brain Tumor Segmentation by Nisha Purohit, Chandi Prasad Bhatt

“…Achieved high segmentation accuracy in brain tumor detection, outperforming traditional methods with improved Dice scores, precision, and computational efficiency. …”
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Optimizing Internet of Things Honeypots with Machine Learning: A Review by Stefanie Lanz, Sarah Lily-Rose Pignol, Patrick Schmitt, Haochen Wang, Maria Papaioannou, Gaurav Choudhary, Nicola Dragoni

“…This paper examines how machine learning enhances honeypot capabilities by improving threat detection and response mechanisms. A systematic literature review using the snowballing method explores the application of supervised, unsupervised, and reinforcement learning. …”
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From Accuracy to Vulnerability: Quantifying the Impact of Adversarial Perturbations on Healthcare AI Models by Sarfraz Brohi, Qurat-ul-ain Mastoi

“…Unlike prior studies, we conducted a quantitative evaluation on the impact of a Fast Gradient Sign Method (FGSM) attack on an optimized DL model designed for breast cancer detection to demonstrate how minor perturbations reduced the model’s accuracy from 98% to 53%, and led to a substantial increase in the classification errors, as revealed by the confusion matrix. …”
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