Hybrid Transform-Based Feature Extraction for Skin Lesion Classification Using RGB and Grayscale Analysis by Luis Felipe López-Ávila, Josué Álvarez-Borrego

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LGWheatNet: A Lightweight Wheat Spike Detection Model Based on Multi-Scale Information Fusion by Zhaomei Qiu, Fei Wang, Tingting Li, Chongjun Liu, Xin Jin, Shunhao Qing, Yi Shi, Yuntao Wu, Congbin Liu

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Enhancing DDoS Attack Classification through SDN and Machine Learning: A Feature Ranking Analysis by Aymen AlAwadi, Kawthar Rasoul ALesawi

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CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals by Ugur Ince, Yunus Talu, Aleyna Duz, Suat Tas, Dahiru Tanko, Irem Tasci, Sengul Dogan, Abdul Hafeez Baig, Emrah Aydemir, Turker Tuncer

“…Classification results were obtained using the cumulative weighted iterative neighborhood component analysis (CWINCA) feature selector and the t-algorithm-based k-nearest neighbors (tkNN) classifier. …”
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The Fusion of Focused Spectral and Image Texture Features: A New Exploration of the Nondestructive Detection of Degeneration Degree in <i>Pleurotus geesteranus</i> by Yifan Jiang, Jin Shang, Yueyue Cai, Shiyang Liu, Ziqin Liao, Jie Pang, Yong He, Xuan Wei

“…In this study, a nondestructive detection method for strain degradation based on the fusion of hyperspectral technology and image texture features is presented. …”
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Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson&#x2019;s Disease by Means of Machine Learning Models by Giuseppe Cesarelli, Leandro Donisi, Francesco Amato, Maria Romano, Mario Cesarelli, Giovanni D'Addio, Alfonso M. Ponsiglione, Carlo Ricciardi

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PD-Net: Parkinson’s Disease Detection Through Fusion of Two Spectral Features Using Attention-Based Hybrid Deep Neural Network by Munira Islam, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan

“…To this end, the study proposes a hybrid model that integrates Convolutional Neural Networks (CNNs) and Long Short-Term Memory networks (LSTMs) for the detection of Parkinson’s disease. Certainly, CNNs are employed to extract spatial features from the extracted spectro-temporal characteristics of vocal data, while LSTMs capture temporal dependencies, accelerating a comprehensive analysis of the development of vocal patterns over time. …”
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Identification of AI-Generated Rock Thin-Section Images by Feature Analysis Under Data Scarcity by Magdalena Habrat, Maciej Dwornik

“…An important aspect of geoscience and energy research is the analysis of microscopic images, where the assessment of rock properties combines imaging methods with numerical analysis. …”
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Hardware Trojans detection based on projection pursuit by Peng ZHANG, Xin-cheng WANG, Qing ZHOU

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Revolutionizing Chinese sentiment analysis: A knowledge-driven approach with multi-granularity semantic features. by Ping He

“…Considering the uniqueness of Chinese text and the practical needs of sentiment analysis, this study aims to address these gaps. To achieve this, we propose a method that deeply integrates the knowledge vector obtained from the emotional knowledge triplets using the TransE model with feature vectors from models like BiGRU and attention mechanisms. …”
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Which features of AI-based tools are important for students? A choice-based conjoint analysis by Jörg von Garrel, Jana Mayer

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Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Effic... by Shadi Jacob Khoury, Yazeed Zoabi, Mickey Scheinowitz, Noam Shomron

“…By applying interpretability techniques to both machine learning and deep learning models, we aimed to improve understanding of symptomatology and enhance early detection of COVID-19 cases. Notably, even though less than 1% of our cohort reported having a sore throat, this symptom emerged as a significant indicator of active COVID-19 infection, appearing 7 out of 9 times in the top four most important features across all methodologies. …”
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Detecting and Classifying Android Malware Using Static Analysis along with Creator Information by Hyunjae Kang, Jae-wook Jang, Aziz Mohaisen, Huy Kang Kim

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Quantitative CT Analysis of Lung Features in Patients with Polymyositis/Dermatomyositis without Interstitial Lung Disease by He HEI, Kai YANG, Liyu HE, Yadan SHENG, Yaqi YAN, Bingjie ZHU, Yuting ZHANG, Jiayin TONG, Jingping ZHANG, Chenwang JIN

“…The differences in CT quantitative parameters among the three groups were compared, and ROC analysis was performed. Results: The lung volume in the PM/DM-ILD group decreased compared to the PM/DM-Non-ILD group, except for the right upper lobe. …”
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The Effect of Systemic Inflammation and Clinicopathologic Features on Survival in Malignant Pleural Mesothelioma: A Multicenter Analysis by Nadiye Sever, Sedat Yıldırım, Ali Fuat Gurbuz, Delyadil Karakaş Kılıç, Esra Zeynelgil, Yunus Emre Altintaş, Berivan Deniz Çimik, Yeşim Ağyol, Ali Kaan Güren, Pınar Erel, Erkam Kocaaslan, Burak Paçacı, Mustafa Alperen Tunç, Abdussamet Çelebi, Nazım Can Demircan, Selver Işık, Rukiye Arıkan, Murat Araz, Serdar Karakaya, Murat Sarı, Osman Köstek, İbrahim Vedat Bayoğlu

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An Improved Model for Online Detection of Early Lameness in Dairy Cows Using Wearable Sensors: Towards Enhanced Efficiency and Practical Implementation by Xiaofei Dai, Guodong Cheng, Lu Yang, Yali Wang, Zhongkun Li, Shuqing Han, Jifang Liu

“…The recall and F1 score for lameness, including early and severe cases, reached 89.11% and 88.93%, demonstrating potential for early and progressive lameness detection. This study improves lameness detection efficiency and validates the feasibility and practical value of wearable sensor-based gait analysis for dairy cow health management, providing new approaches and technical support for monitoring and early intervention on large-scale farms.…”
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Detection of Pear Quality Using Hyperspectral Imaging Technology and Machine Learning Analysis by Zishen Zhang, Hong Cheng, Meiyu Chen, Lixin Zhang, Yudou Cheng, Wenjuan Geng, Junfeng Guan

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Automated Anomaly Detection and Causal Analysis for Civil Aviation Using QAR Data by Xin Dang, Congcong Hua, Chuitian Rong

“…The proposed method can monitor multiple events in one routine and provide a causal analysis. In the causal analysis process, the Shapley additive interpretation method is applied to produce analysis report for detected anomalies. …”
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Enhancing Disease Detection in the Aquaculture Sector Using Convolutional Neural Networks Analysis by Hayin Tamut, Robin Ghosh, Kamal Gosh, Md Abdus Salam Siddique

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Classification Model for Bot-IoT Attack Detection Using Correlation and Analysis of Variance by Firgiawan Faira, Dandy Pramana Hostiadi

“…This research focuses on detecting Bot-IoT activity using the Bot-IoT UNSW Canberra 2018 dataset. …”
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