Optimization of variable-speed weighing detection and intelligent regulation device for seeding amount in rice seedling trays by Xihong HU, Xu MA, Yuwei WANG, Xicheng WANG, Lei ZHONG, Suiyan TAN

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Intelligent Stress Detection Using ECG Signals: Power Spectrum Imaging with Continuous Wavelet Transform and CNN by Rodrigo Mateo-Reyes, Irving A. Cruz-Albarran, Luis A. Morales-Hernandez

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Application of Artificial Intelligence in Obsessive-Compulsive Disorder Detection and Response to Treatment: A Systematic Review by Faezeh Ghasemi, Ahmad Shalbaf, Ali Esteki

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An Efficient Aerial Image Detection with Variable Receptive Fields by Wenbin Liu, Liangren Shi, Guocheng An

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Artificial Intelligence in the Non-Invasive Detection of Melanoma by Banu İsmail Mendi, Kivanc Kose, Lauren Fleshner, Richard Adam, Bijan Safai, Banu Farabi, Mehmet Fatih Atak

“…While these techniques are useful, there is wide inter-user variability and minimal training for dermatology residents on how to properly use these devices. …”
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Fleet‐Wide Data‐Driven Model Generation Process for Residual‐Based Fault Detection in Wind Energy by Théodore Raymond, Sylvie Charbonnier, Christophe Bérenguer, Alexis Lebranchu

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An intelligent algorithm to fast and accurately detect chaotic correlation dimension by Mengyan Shen, Miaomiao Ma, Zhicheng Su, Xuejun Zhang

“…Abstract Detecting the complexity of natural systems, such as hydrological systems, can help improve our understanding of complex interactions and feedback between variables in these systems. …”
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Detecting label noise in longitudinal Alzheimer’s data with explainable artificial intelligence by Paolo Sorino, Angela Lombardi, Domenico Lofù, Tommaso Colafiglio, Antonio Ferrara, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia

“…This study explores the potential of explainable artificial intelligence to detect and characterize noisy labels in longitudinal datasets. …”
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The Early Detection of Cardiac Fatigue: Could the HRV Be Used as a Physiological Biomarker by AI? by Giovanna Zimatore, Maria Chiara Gallotta, Marco Alessandria, Matteo Campanella, Marta Ricci, Leonarda Galiuto

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Intelligent Control Valve Stiction Diagnosis Approach by Sami El-Ferik, Mustafa Al-Naser, Abrar Al-Amoudi, Abdullatif Al-Najim, Karim Asif Sattar

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Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm by Ayuba John, Ismail Fauzi Bin Isnin, Syed Hamid Hussain Madni, Farkhana Binti Muchtar

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Early detection of bloodstream infection in critically ill children using artificial intelligence by Hye-Ji Han, Kyunghoon Kim, June Dong Park

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Accuracy of artificial intelligence in caries detection: a systematic review and meta-analysis by Alexander Maniangat Luke, Nader Nabil Fouad Rezallah

“…Traditional diagnostic procedures such as eye inspection and radiography have limitations in detecting early-stage degradation. Artificial intelligence (AI) provides a viable alternative to improve diagnostic precision and effectiveness. …”
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Monitoring and Interpretation of Process Variability Generated from the Integration of the Multivariate Cumulative Sum Control Chart and Artificial Intelligence by Edgar Augusto Ruelas-Santoyo, Vicente Figueroa-Fernández, Moisés Tapia-Esquivias, Yaquelin Verenice Pantoja-Pacheco, Edgar Bravo-Santibáñez, Javier Cruz-Salgado

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Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal by Pragati Tripathi, M. A. Ansari, Tapan Kumar Gandhi, Rajat Mehrotra, Md Belal Bin Heyat, Faijan Akhtar, Chiagoziem C. Ukwuoma, Abdullah Y. Muaad, Yasser M. Kadah, Mugahed A. Al-Antari, Jian Ping Li

“…Therefore, the automatic insomnia diagnosis from the electrocardiogram (ECG) records is vital for timely detection and cure. In this paper, a novel hybrid artificial intelligence (AI) approach is proposed based on the power spectral density (PSD) of the heart rate variability (HRV) to detect insomnia in three classification scenarios: (1) subject-based classification scenario (normal Vs. insomnia), (2) sleep stage-based classification (REM Vs. …”
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Acute Psychological Stress Detection Using Explainable Artificial Intelligence for Automated Insulin Delivery by Mahmoud M. Abdel-Latif, Mudassir M. Rashid, Mohammad Reza Askari, Andrew Shahidehpour, Mohammad Ahmadasas, Minsun Park, Lisa Sharp, Lauretta Quinn, Ali Cinar

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Development of a Tool for Comprehensive Balance Assessment Based on Artificial Intelligence and Anomaly Detection by Márcio Fagundes Goethel, Klaus Magno Becker, Franciele Carvalho Santos Parolini, Ulysses Fernandes Ervilha, João Paulo Vilas-Boas

“…To address this gap, we introduced a novel artificial intelligence-based tool that leverages anomaly detection to provide a comprehensive assessment of balance performance across all age groups. …”
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Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review by Sara Haghighat, Muhammed Joghatayi, Julien Issa, Sarina Azimian, Janet Brinz, Ali Ashkan, Akhilanand Chaurasia, Zahra Rahimian, Linda Sangalli

“…The gold-standard diagnostic tool for OSA is polysomnography, which is expensive, time-consuming, and not accessible everywhere. Artificial intelligence (AI) algorithms can facilitate diagnosis by detecting patients’ signs and symptoms. …”
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Design and motion analysis of a coal mine robot with variable wheel diameter by Liguo Han, Fei Ding, Lijuan Zhao, Peng Li, Chuanzong Li, Mingjun Liu, Liangliang Ren, Yuhao Li

“…This provides new ideas for the research of special detection robots and the intelligence of coal mines in the future.…”
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Artificial Intelligence in Inflammatory Bowel Disease Endoscopy by Sabrina Gloria Giulia Testoni, Guglielmo Albertini Petroni, Maria Laura Annunziata, Giuseppe Dell’Anna, Michele Puricelli, Claudia Delogu, Vito Annese

“…For example, the achievement of mucosal healing has been widely demonstrated as a prognostic marker for better outcomes and a reduced risk of dysplasia and cancer; however, the accuracy of endoscopy is crucial for both this aim and the precise and reproducible evaluation of endoscopic activity and the detection of dysplasia. Artificial intelligence (AI) has drastically altered the field of GI studies and is being extensively applied to medical imaging. …”
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