Performance Evaluation of Different Speech-Based Emotional Stress Level Detection Approaches by Jan Stas, Stanislav Ondas, Jozef Juhar

“…A detailed comparative analysis of their speech characteristics, including fundamental frequency (<inline-formula> <tex-math notation="LaTeX">$F_{0}$ </tex-math></inline-formula>), formant frequencies (<inline-formula> <tex-math notation="LaTeX">$F_{1}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$F_{2}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$F_{3}$ </tex-math></inline-formula>), voice intensity, harmonic-to-noise ratio, jitter, and shimmer, was conducted to investigate how these features change with increasing stress and contribute to its detection. …”
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A genetic programming approach with adaptive region detection to skin cancer image classification by Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang

“…A new region detection function has been developed to select the lesion areas from skin images for feature extraction. …”
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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

“…A novel multiscale enhanced convolution module has been introduced to improve the model’s feature extraction capabilities for small-sized targets. …”
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Accuracy Improvement of Breast Tumor Detection based on Dimension Reduction in the Spatial and Edge Features and Edge Structure in the Image by Samaneh Sadat Seyed Abolghasemi, Mehran Emadi, Mohsen Karimi

“…In this article, a method based on pattern recognition is presented in order to detect the type of tumor. GLCM-based features are extracted from the target area, and Gabor and texture features. …”
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Automated Tomato Leaf Disease Detection Using Image Processing: An SVM-Based Approach with GLCM and SIFT Features by Rashid Khan, Nasir Ud Din, Asim Zaman, Bingding Huang

“…Therefore, we proposed an approach that employs robust feature extraction methods, including the gray level co-occurrence matrix (GLCM) and scale-invariant feature transform (SIFT), coupled with a support vector machine (SVM) for adequate classification. …”
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Improved railway track faults detection using Mel-frequency cepstral coefficient and constant-Q transform features by Rahman Shafique, Khadija Kanwal, Venkata Chunduri, Gyu Sang Choi, Imran Ashraf

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CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features by Wenxuan Ge, Xubing Yang, Rui Jiang, Wei Shao, Li Zhang

“…Clouds in remote sensing images inevitably affect information extraction, which hinders the following analysis of satellite images. Hence, cloud detection is a necessary preprocessing procedure. …”
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Breast Lesion Detection Using Weakly Dependent Customized Features and Machine Learning Models with Explainable Artificial Intelligence by Simona Moldovanu, Dan Munteanu, Keka C. Biswas, Luminita Moraru

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A lightweight classification system for the early detection of diabetic retinopathy by Ashim Chakraborty, George Wilson, Cristina Luca

“…Diabetic Retinopathy features such as Hard Exudates, Microaneurysms and Blood Vessels are extracted from the retinal images by a number of feature extraction methods. …”
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Study on the Identification Method of Planar Geological Structures in Coal Mines Using Ground-Penetrating Radar by Jialin Liu, Xiaosong Tang, Feng Yang, Xu Qiao, Fanruo Li, Suping Peng, Xinxin Huang, Yuanjin Fang, Maoxuan Xu

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EARLY DETECTION OF THYROID CANCER USING TIME SERIES ANALYSIS AND QUADRATIC DISCRIMINANT ANALYSIS by Eun Heo, Yoo-Shin Park, Tae-Hoon Kim, Byung-Chan Min

“…Thyroid cancer, a prevalent and potentially life-threatening disease, demands early detection for effective treatment. This study proposes a novel approach for the early detection of thyroid cancer by employing Time Series Analysis (TSA) and Quadratic Discriminant Analysis (QDA). …”
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Detecting Botrytis Cinerea Control Efficacy via Deep Learning by Wenlong Yi, Xunsheng Zhang, Shiming Dai, Sergey Kuzmin, Igor Gerasimov, Xiangping Cheng

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BWFER-YOLOv8: An Enhanced Cascaded Framework for Concealed Object Detection by Khalid Ijaz, Ikramullah Khosa, Ejaz A. Ansari, Syed Farooq Ali, Asif Hussain, Faran Awais Butt

“…The comprehensive quantitative and qualitative analysis reveals that the proposed framework outperforms the state-of-the-art tiny YOLOv3 and YOLOv8 models by achieving 98.1% precision and recall in detecting concealed weapons. …”
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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

“…Rigorous analysis and feature selection are subsequently conducted to eliminate redundant data, thereby focusing on retaining the most significant features for classification. …”
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Harmonic Aggregation Entropy: A Highly Discriminative Harmonic Feature Estimator for Time Series by Ye Wang, Zhentao Yu, Cheng Chi, Bozhong Lei, Jianxin Pei, Dan Wang

“…This approach addresses the issues associated with traditional time–frequency analysis methods, such as the large computational burden and lack of specificity in feature extraction. …”
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An Improved Deep Learning Unsupervised Approach for MRI Tissue Segmentation for Alzheimer&#x2019;s Disease Detection by Karan Kumar, Isha Suwalka, Adaora Uche-Ezennia, Celestine Iwendi, Cresantus N. Biamba

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Enhanced CAD Detection Using Novel Multi-Modal Learning: Integration of ECG, PCG, and Coupling Signals by Chengfa Sun, Xiaolei Liu, Changchun Liu, Xinpei Wang, Yuanyuan Liu, Shilong Zhao, Ming Zhang

“…The experimental results demonstrate that the proposed multi-modal method by integrating all signals achieved a notable enhancement in detection performance with best accuracy of 95.96%, notably outperforming results of single-modal and joint analysis with accuracies of 80.41%, 86.51%, 91.44%, and 90.42% using ECG, PCG, coupling signal, and joint ECG and PCG, respectively. …”
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Research on Surface Defects Classification for PET Preform by Fusing Multi-Scale Features by Chunmei Duan, Taochuan Zhang, Lei Han, Huilin Tan

“…Multi-scale features fusion combines features from different scales to produce more accurate and robust feature representations, which improve the accuracy, stability and adaptability of PET preform detection model. …”
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Border Feature Enhancement in Ultrasound Image Segmentation by Xianghao Cui, Qingjing Fei, Ruixuan Li, Wen Xiong, Fang Hou, Zhi Chen, Qi He

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Humor processing and its relationship with clinical features in patients with first-episode schizophrenia by Yunfei Ji, Bingjie Huang, Jia Huang, Xiaodong Guo, Tianqi Gao, Yue Zheng, Wanheng Hu, Xiaolin Yin, Xianghe Wang, Xin Yu, Chengcheng Pu

“…Clinical participants also completed clinical and social functioning measurements. Signal detection theory analysis was used to calculate the d' and β values, which represent the detection of humor signals in the comprehension phase and inner criteria of the humor appreciation phase, respectively. …”
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