Using lightweight method to detect landslide from satellite imagery by Jinchi Dai, Xiaoai Dai, Renyuan Zhang, JiaXin Ma, Wenyu Li, Heng Lu, Weile Li, Shuneng Liang, Tangrui Dai, Yunfeng Shan, Donghui Zhang, Lei Zhao

“…Accurate, rapid, and automated landslide detection is crucial for early warning, emergency management, and landslide mechanism analysis. …”
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Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation by Milad Shoryabi, Ahmad Hajipour, Afshin Shoeibi, Ali Foroutannia

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Early detection of fungal infection of Arabidopsis and brassica by Raman spectroscopy by Song-Yi Kuo, Ling-Ying Chiu, Ekta Jain, Gajendra Pratap Singh, Muhammad Nabil Syafiq Bin Jamaludin, Rajeev J. Ram, Rajeev J. Ram, Nam-Hai Chua, Nam-Hai Chua

“…Principal component analysis differentiated Raman spectral features associated with fungal and bacterial infections, emphasizing their unique profiles and reinforcing the utility of Raman spectroscopy for early detection of pathogen-related plant stress. …”
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Enhanced Blade Fault Diagnosis Using Hybrid Deep Learning: A Comparative Analysis of Traditional Machine Learning and 1D Convolutional Transformer Architecture by Syed Asad Imam, Meng Hee Lim, Ahmed Mohammed Abdelrhman, Iftikhar Ahmad, Mohd Salman Leong

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Optimizing Monkeypox Lesions Detection With a Lightweight Hybrid Model by Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Abduljabbar S. Ba Mahel, Ahmed Aziz, Mashael M. Khayyat, Ammar Muthanna

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Local Outlier Detection Method Based on Improved K-means by Yu ZHOU, Hao XIA, Xuezhen YUE, Peichong WANG

“…The task of outlier detection involves identifying these points and analyzing their potential abnormal information through the analysis of data attribute features. …”
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Self-collision Detection and Motion Planning of Hydraulic Quadruped Robot by SHAO Junpeng, CHI Hanwei, SUN Guitao

“…Aiming at the selfcollision problem in the motion of fourlegged robots， the distance function method is adopted， the feature points are selected for the legs， and the distance between the feature points is detected to plan the trajectory of the foot In the research process， the threedimensional model of the quadruped robot was established， and four selfcollision position detection models were given The analysis of the leg motion space was performed Two feature points were selected on each leg， and the feature points were used to solve the feature points Control the distance between the legs to control the legs Through simulation analysis and experiment， the distance function method can be used to control the minimum distance between the two ends at 3472mm， effectively avoiding the collision problem between the legs during the running of the robot…”
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ECG Paper Digitization and R Peaks Detection Using FFT by Ibraheam Fathail, Vaishali D. Bhagile

“…Manual ECG paper record analysis can be difficult and time-consuming. It is possible to digitally digitize these paper ECG recordings for automated analysis and diagnosis. …”
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Novel Machine Learning-Based Brain Attention Detection Systems by Junbo Wang, Song-Kyoo Kim

“…The results of our analysis on a publicly available dataset indicate that KNN with the feature importance feature extraction method performed the best, achieving 99.56% accuracy, 99.67% recall, and 99.44% precision with a rapid training time.…”
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Schizophrenia Detection and Classification: A Systematic Review of the Last Decade by Arghyasree Saha, Seungmin Park, Zong Woo Geem, Pawan Kumar Singh

“…By automating decision-making processes based on predefined thresholds, AI enhances the accuracy and reliability of healthcare data analysis, reducing the need for human intervention. …”
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A hybrid model for detecting motion artifacts in ballistocardiogram signals by Yuelong Jiang, Han Zhang, Qizheng Zeng

“…Results This paper proposes and confirms through analysis that the proposed hybrid model exhibits exceptional accuracy in detecting motion artifacts in ballistocardiogram (BCG) signals. …”
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An Enhanced Image Segmentation Technique-Based on Motion Detection Algorithm by Zaid Sh. Bakr, Hamzah M. Marhoon, Ammar Alaythawy

“… This paper presents a prototype for an intelligent, self-contained theft detection system designed for small-scale applications. …”
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Research on Small Target Detection Algorithm for Autonomous Vehicle Scenarios by Sheng Tian, Kailong Zhao, Lin Song

“…Furthermore, the GC attention module is employed to mitigate background interference, thereby enhancing the average detection accuracy across all categories. Through data analysis, target detection at different scales and sampling rates is determined. …”
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Research on malicious code variants detection based on texture fingerprint by Xiao-guang HAN, UWu Q, AOXuan-xia Y, UOChang-you G, Fang ZHOU

“…A texture-fingerprint-based approach is proposed to extract or detect the feature from malware content. The texture fingerprint of a malware is the set of texture fingerprints for each uncompressed gray-scale image block. …”
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Polarization-Enhanced Multi-Target Underwater Salient Object Detection by Jiayi Song, Peikai Zhao, Jiangtao Li, Liming Zhu, Khian-Hooi Chew, Rui-Pin Chen

“…The proposed polarization-enhanced salient object detection network (PESODNet) employs a multi-polarization-parameter-guided, material-aware attention mechanism and a contrastive feature calibration unit, significantly enhancing its multi-material, multi-target detection capabilities in underwater scattering environments. …”
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River floating object detection with transformer model in real time by Chong Zhang, Jie Yue, Jianglong Fu, Shouluan Wu

“…Building upon this foundation, we introduce the LR-DETR, a lightweight evolution of RT-DETR for river floating object detection. This model incorporates the High-level Screening-feature Path Aggregation Network (HS-PAN), which refines feature fusion through a novel bottom-up fusion path, significantly enhancing its expressive power. …”
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BERT ensemble based MBR framework for android malware detection by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, Noor Zaman Jhanjhi

“…The MBR model uses a threat analysis technique to assess Android apps by using a subset of 100 permissions from 329 Android application-based permissions, together with a refined feature set. …”
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Isfahan Artificial Intelligence Event 2023: Reflux Detection Competition by Azra Rasouli Kenari, Ahmadreza Montazerolghaem, Zahra Zojaji, Mehdi Ghatee, Behnam Yousefimehr, Amin Rahmani, Mahdi Kalani, Farnoush Kiyanpour, Mohamad Kiani-Abari, Mohammad Yasin Fakhar, Safiyeh Rezaei, Mojtaba Tahernia, Mohammad Hossein Vafaie, Hamidreza Besharatnezhad, Vahid Rahimi Bafrani, Mohamad Taghi Tofighi, Peyman Adibi Sedeh, Maryam Soheilipour, Hossein Rabbani

“…Achieving success necessitates the seamless collaboration of two key components: a reflux definition criteria protocol established by gastrointestinal experts and a comprehensive analysis of MII data for reflux detection. Method: In an endeavor to address this challenge, our team assembled a dataset comprising 201 MII episodes. …”
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Object detection in motion management scenarios based on deep learning. by Baocheng Pei, Yanan Sun, Yebiao Fu, Ting Ren

“…However, the existing detection methods failed to achieve better detection results, and the analysis found that the reasons for this phenomenon mainly lie in the loss of temporal information, multi-targeting, target overlap, and coupling of regression and classification tasks, which makes it more difficult for these network models to adapt to the detection task in this scenario. …”
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A Comprehensive Review of EEG-Based Seizure Detection Techniques by Goldwyn Sudhakar Jebaraj, Konguvel Elango

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