Fuzzy Intelligence in Physical Immersion Teaching System Based on Digital Simulation Technology by Aihui Du

“…In addition, this study proposes a new algorithm based on the morphological features of geometric images, which combines the transformation detection method of cluster analysis to realize the intelligent processing of images. …”
Get full text

ONE TYPICAL EXTREMUM IN ELECTRICAL PROBLEMS by V. I. Goroshko, T. E. Shukovskaya

“…The aim of this work is to attract attention of teachers, scientific personnel, engineers and students to one peculiarity of extremum seeking in different electrical problems. This feature lies in the fact that in many parts of electrical engineering extremum seeking comes to analysis one and the same mathematical structure (T-structure), but differences lie only in many symbols (designation).In one problems this structure appear in finale, the most simple form, but in others – T-structure is “veiled”, and as a rule  we need  elementary algebraic transformation to detect it.Taking into account high frequency of this structure appearing in electrical problems, in the first part of article the authors  carried out the investigation of extremum characteristics of T-structure and show the results in easy algorithms. …”
Get full text

Combining miRNA concentrations and optimized machine-learning techniques: An effort for the tomato storage quality assessment in the agriculture 4.0 framework by Seyed Mohammad Samadi, Keyvan Asefpour Vakilian, Seyed Mohamad Javidan

“…In addition, this feature selection scheme reveals the role of some miRNA compounds in the process of fruit response to stress during storage. …”
Get full text

Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review by Platon S. Papageorgiou, Rafail Christodoulou, Panagiotis Korfiatis, Dimitra P. Papagelopoulos, Olympia Papakonstantinou, Nancy Pham, Amanda Woodward, Panayiotis J. Papagelopoulos

“…Through machine learning and deep learning techniques, AI leverages computational algorithms and large datasets to enhance medical imaging interpretation and support clinical decision-making. …”
Get full text

Position Normalization of Propellant Grain Point Clouds by Junchao Wang, Fengnian Tian, Renfu Li, Zhihui Li, Bin Zhang, Xuelong Si

“…In the coarse normalization stage, a layer-by-layer feature points detection scheme based on k-dimensional trees (KD-tree) and k-means clustering (k-means) is designed to extract feature points from the propellant grain point cloud. …”
Get full text

Dual-verified secure localization method for unmanned intelligent vehicles by GU Xiaodan, XIA Guozheng, SONG Bingchen, YANG Ming, LUO Junzhou

“…Once an abnormal position was detected, an alert would be issued, ensuring the normal operation of the unmanned intelligent vehicles. …”
Get full text

Analysis of digital intelligent financial audit system based on improved BiLSTM neural network by Zhu Xincai

“…Traditional auditing methods have difficulties in detecting various financial issues hidden in massive amounts of data. …”
Get full text

Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

“…Finally, the Soft-NMS algorithm is adopted, which can effectively prevent high-density overlapping targets from being suppressed at one time and thus prevent the occurrence of missed detection. …”
Get full text

Towards Real-Time Spatial Distance Monitoring of Power Transmission Lines Using LiDAR Point Clouds and Visual Imaging by Li Zhendong, Wang Feiran, Han Geng, Guo Xinyang, Shi Zhaoyang

“…In this research, a spatial monitoring platform that combines LiDAR point clouds with high-resolution imagery through RandLA-Net is presented for semantic segmentation and hazard detection. METHODS: Combining geometric information (LiDAR) and visual features (images) with an optimized RandLA-Net architecture allows for accurate, real-time infrastructure features and hazard detection in dense or cluttered scenarios. …”
Get full text

Sparse wavelet decomposition in problems of vibration-based diagnostics of rotary equipment by Y. P. Aslamov, A. P. Aslamov, I. G. Davydov, A. V. Borsuk

“…At the present an increase in the effectiveness of vibration-based diagnostics is achieved by automating the solution of this problem and also by the use of matched sets of informative features, which causes the urgency of the development of algorithms for their detection. …”
Get full text

Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…This technique allows for a more comprehensive understanding of the fracture propagation process, capturing details that would be missed with a single detection perspective.Furthermore, the study explores the potential of combining GPR with other monitoring techniques and artificial intelligence algorithms. …”
Get full text

Clause complexing in research-article abstracts: Comparing human- and AI-generated texts by Leong Alvin Ping

“…The only chatbot that came closest was ChatGPT, but differences in the use of finite adverbial clauses and –ing elaborating clauses were detected. Incorporating distinct grammatical features in the algorithms of AI-detection tools is crucially needed to enhance the reliability of their results. …”
Get full text

Sensor-Assisted Face Tracking by Dingbo Duan, Jian Ma

“…By making use of the context metadata captured by wearable sensors on human bodies at the time of video recording, we could improve the performance and efficiency of traditional face tracking algorithms. Specifically, when subjects wearing motion sensors move around in the field of view (FOV) of a camera, motion features collected by those sensors help to locate frames most probably containing faces from the recorded video and thus save large amount of time spent on filtering out faceless frames and cut down the proportion of false alarms. …”
Get full text

Longitudinal Changes in Pitch-Related Acoustic Characteristics of the Voice Throughout the Menstrual Cycle: Observational Study by Jaycee Kaufman, Jouhyun Jeon, Jessica Oreskovic, Anirudh Thommandram, Yan Fossat

“…The analysis included comparisons of these features between the follicular and luteal phases and the application of changepoint detection algorithms to assess changes and pinpoint the day in which the shifts in vocal pitch occur. …”
Get full text

A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions by Mahnoor, Imran Shafi, Mahnoor Chaudhry, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Diez, Md Abdus Samad, Imran Ashraf

“…Additionally featured are real-world applications from several sectors. …”
Get full text

Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors by Akira Minamisawa, Shogo Okada, Ken Inoue, Mami Noguchi

“…We analyzed the effects of different types of sensor data, such as time spent in an individual room according to human motion sensors, location in a facility, and sleep patterns, on dementia detection. We then developed a feature extraction method related to daily activity patterns based on a clustering algorithm and analyzed its effectiveness. …”
Get full text

Prediction of acute kidney injury in intensive care unit patients based on interpretable machine learning by Li Zhang, Mingyu Li, Chengcheng Wang, Chi Zhang, Hong Wu

“…Objective Acute kidney injury (AKI) poses a lethal risk in intensive care unit (ICU) patients, where early detection is challenging. This study was to establish a prediction model for AKI 24 hours in advance for ICU patients and to help clinicians monitor patients at an early stage by key features. …”
Get full text

Multi-point estimation weldment recognition and estimation of pose with data-driven robotics design by Meng XiangYi

“…The MPEE model estimates the multi-point in the weldment design and the estimation of the features. With the estimated points in the Weldmart, entropy points are tracked and estimated for fault estimation and fault detection. …”
Get full text

Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…In the Trees group, J48 was the most effective, benefitting from its ability to handle complex interactions and numerous features. The study highlights the potential of ML algorithms in early diabetes detection, enabling timely intervention and personalized management strategies. …”
Get full text

Implementation of an Intelligent Trap for Effective Monitoring and Control of the <i>Aedes aegypti</i> Mosquito by Danilo Oliveira, Samuel Mafra

“…The intelligent system features the YOLOv7 algorithm (You Only Look Once v7) that is capable of detecting and counting insects in real time, combined with LoRa/LoRaWan connectivity and IoT system intelligence. …”
Get full text