Computer-Aided Application in Medicine and Biomedicine by Qi-Ming Liao, Wahab Hussain, Zhong-Xia Liao, Sarfraz Hussain, Zhi-Liang Jiang, Yong-Hao Zhu, Huang-Yin Luo, Xin-Ying Ji, Hong-Wei Wen, Dong-Dong Wu

“…Abstract Computer-aided applications in medicine and biomedicine drive the advancement of diagnostics, treatment, and research by leveraging data processing, analysis, and innovation. …”
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Bio inspired optimization techniques for disease detection in deep learning systems by A. Ashwini, Vanajaroselin Chirchi, S. Balasubramaniam, Mohd Asif Shah

“…Abstract Numerous contemporary computer-aided disease detection methodologies predominantly depend on feature engineering techniques; yet, they possess several drawbacks, including the presence of redundant features and excessive time consumption. …”
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Presenting an Innovative Method Based on Ensemble Learning for a Credit Approval System by Eshonkulov Uchkun, Elmurodov Tulkin, Ravshanov Zavqiddin, Каramanov Asqar

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Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…This study introduces a novel event-type identification method, utilizing a Spectral Correlation Function (SCF)-aided Convolutional Neural Network (CNN). The proposed method employs a six-stage cascaded structure consisting of: (1) data collection, (2) clipping, (3) augmentation, (4) feature extraction (FE), (5) training, and (6) testing. …”
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A review of the data used to validate groundwater recharge maps created with GIS techniques over the past two decades by George Bennett

“…Groundwater recharge maps developed using GIS techniques are important tools that aid the identification of recharge zones. …”
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A Technical Note on AI-Driven Archaeological Object Detection in Airborne LiDAR Derivative Data, with CNN as the Leading Technique by Reyhaneh Zeynali, Emanuele Mandanici, Gabriele Bitelli

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Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques by Tuğçe Öznacar, Nuray Varol Kayapunar

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Observation of Nutritional Status in Adolescents with HIV/AIDS by Erika Martining Wardani, Riezky Faisal Nugroho

“…The number of subjects was 150 people with incidental sampling techniques. Inclusion criteria: adolescents diagnosed with HIV/AIDS, living in shelters, allowed by caregivers, ages 12-21, not being hospitalized during the study. …”
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Augmented reality‐aided unicompartmental knee arthroplasty by Sachiyuki Tsukada, Hiroyuki Ogawa, Kenji Kurosaka, Masayoshi Saito, Masahiro Nishino, Naoyuki Hirasawa

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TCAD Simulation of Two Photon Absorption—Transient Current Technique Measurements on Silicon Detectors and LGADs by Sebastian Pape, Michael Moll, Marcos Fernández García, Moritz Wiehe

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Advanced Machine Learning Techniques for Energy Consumption Analysis and Optimization at UBC Campus: Correlations with Meteorological Variables by Amir Shahcheraghian, Adrian Ilinca

“…Applying advanced machine learning techniques underscores the potential of data-driven energy optimization strategies. …”
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A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport by Watson P. J., Fieldsend J. E., Stiles V.H.

“…To aid the implementation of athlete surveillance systems relative to logistical circumstances, easy-to-access information that summarises the extent to which methods of acquiring data are used in practice to monitor athletes is required. …”
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Social representations of sexuality developed by women in the context of Aids by Solange Gurgel Alexandre, Maria Lúcia Duarte Pereira, Raquel Santos Monte, Eysler Gonçalves Maia, Jemima Samela Marques Barbosa, Sammya Karla Borges Moura

“…Data were submitted to content analysis and two main categories were verified: concepts on HIV/AIDS and experiences of sexuality. …”
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An explainable ensemble approach for advanced brain tumor classification applying Dual-GAN mechanism and feature extraction techniques over highly imbalanced data. by Priyanka Roy, Fahim Mohammad Sadique Srijon, Pankaj Bhowmik

“…These techniques aid in detecting and planning treatment early, improving patient outcomes. …”
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Parallelized Field-Programmable Gate Array Data Processing for High-Throughput Pulsed-Radar Systems by Aaron D. Pitcher, Mihail Georgiev, Natalia K. Nikolova, Nicola Nicolici

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A New Breast Cancer Discovery Strategy: A Combined Outlier Rejection Technique and an Ensemble Classification Method by Shereen H. Ali, Mohamed Shehata

“…In the P²S, the needed data are filtered from any non-informative data using three primary operations: data normalization, feature selection, and outlier rejection. …”
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A Rule-Based Predictive Model for Estimating Human Impact Data in Natural Onset Disasters—The Case of a PRED Model by Sara Rye, Emel Aktas

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Predicting the generalization of computer aided detection (CADe) models for colonoscopy by Joel Shor, Carson McNeil, Yotam Intrator, Joseph R. Ledsam, Hiro-o Yamano, Daisuke Tsurumaru, Hiroki Kayama, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Masaaki Miyo, Eiji Oki, Ichiro Takemasa, Ehud Rivlin, Roman Goldenberg

“…Abstract Generalizability of AI colonoscopy algorithms is important for wider adoption in clinical practice. However, current techniques for evaluating performance on unseen data require expensive and time-intensive labels. …”
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Geometric Deep Learning for Computer-Aided Design: A Survey by Negar Heidari, Alexandros Iosifidis

“…Geometric Deep Learning techniques have become a transformative force in the field of Computer-Aided Design (CAD), and have the potential to revolutionize how designers and engineers approach and enhance the design process. …”
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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

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