Application of Deep Learning in Classification and Diagnosis of Mild Cognitive Impairment by ZHOU Qixiang, WANG Xiaoyan, ZHANG Wenkai, HE Xin

“…Then it focuses on the application of deep learning models and methods in the classification and diagnosis of mild cognitive impairment, including but not limited to automatic encoders, deep belief networks, generative adversarial networks, convolutional neural networks, and graph convolutional neural networks, and points out the model interpretability techniques used in the research. Finally, the main ideas, advantages and disadvantages of various algorithms are summarized, and the classification and diagnosis performance of mild cognitive impairment classification methods based on deep learning on public datasets is compared. …”
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The Value of PET/CT-Based Radiomics in Predicting Adrenal Metastases in Patients with Cancer by Qiujun He, Xiangxing Kong, Xiangxi Meng, Xiuling Shen, Nan Li

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Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta by Vaisali Chandrasekar, Mohammed Yusuf Ansari, Ajay Vikram Singh, Shahab Uddin, Kirthi S. Prabhu, Sagnika Dash, Souhaila Al Khodor, Annalisa Terranegra, Matteo Avella, Sarada Prasad Dakua

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Deciphering the impact of intra-tumoral bacterial infiltration on multi-omics profiles in low-grade gliomas by Wenshu Li, Zixiang Zhu, Zixiang Zhu, Longyuan Li, Xin Wu, Jiaxuan Li, Yi Zhou, Lingwen Gu, Pranathi Vittal, Zhouqing Chen, Zhong Wang, Lingchuan Guo

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Designing Predictive Tools for Personalized Functionalities in Knitted Performance Wear by Martijn ten Bhömer, Hai-Ning Liang, Difeng Yu, Yuanjin Liu, Yifan Zhang, Eva de Laat, Carola Leegwater

“…These questions are investigated through the analysis of a Research Through Design case study, in which several predictive algorithms were compared and implemented in a user interface that would aid knitwear designers during the development process of high-performance running tights. …”
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Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease by Mingming Wang, Liping Liang, Zibo Tang, Jimin Han, Lele Wu, Le Liu, Le Liu, Ye Chen, Ye Chen

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Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique by Daniyal Alghazzawi, Hayat Ullah, Naila Tabassum, Sahar K. Badri, Muhammad Zubair Asghar

“…Abstract This research presents a novel framework for distinguishing between actual and non-suicidal ideation in social media interactions using an ensemble technique. …”
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Combined impact of semantic segmentation and quantitative structure modelling of Southern pine trees using terrestrial laser scanning by Jinyi Xia, Timothy A. Martin, Gary F. Peter, Kody M. Brock, Jeff W. Atkins, Matthew A. Gitzendanner, Inacio Bueno, Kim Calders, Ana Paula Dalla Corte, Andrew T. Hudak, Monique Bohora Schlickmann, Michael G. Andreu, Caio Hamamura, Carine Klauberg, Carlos A. Silva

“…These findings highlight the importance of selecting segmentation algorithms based on specific research goals, balancing accuracy and computational feasibility in forest structural modeling.…”
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A review of evaluation methods for Duchenne muscular dystrophy by Zeinab Famili, Hadi Soltanizadeh, Bita Shalbafan

“…It is crucial to assess the movement of both the upper and lower limbs to diagnose this condition effectively. This research categorizes DMD assessment methods into two types: human-based assessments (based on questionnaires) and Machine-based assessments (using motion tracking and computer algorithms). …”
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Analyzing the dynamics between crude oil spot prices and futures prices by maturity terms: Deep learning approaches to futures-based forecasting by Jeonghoe Lee, Bingjiang Xia

“…In summary, this research systematically shows results demonstrating predictive power in terms of XAI between spot prices and futures prices with different maturities, and machine learning algorithms.…”
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An Introduction to Virtual Phased Arrays for Beamforming Applications by Daniel FERNÁNDEZ COMESAÑA, Keith R. HOLLAND, Dolores GARCÍA ESCRIBANO, Hans-Elias de BREE

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ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications by A. Bellini, A. Bellini, A. Bellini, H. Diémoz, L. Di Liberto, G. P. Gobbi, A. Bracci, F. Pasqualini, F. Barnaba

“…In Italy, the Institute of Atmospheric Sciences and Climate (ISAC) of the National Research Council (CNR) established the ALICENET network of automated lidar ceilometers (ALCs) in 2015. …”
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Impact of Critical Situations on Autonomous Vehicles and Strategies for Improvement by Shahriar Austin Beigi, Byungkyu Brian Park

“…This systematic review compares the current state of sensor technologies, fusion techniques, and adaptive algorithms to highlight advances and identify continuing challenges for the field. …”
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Enhancing Cybersecurity and Privacy Protection for Cloud Computing-Assisted Vehicular Network of Autonomous Electric Vehicles: Applications of Machine Learning by Tiansheng Yang, Ruikai Sun, Rajkumar Singh Rathore, Imran Baig

“…The performance of different ML algorithms in the literature is also collated and compared. …”
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Survival analysis using machine learning in transplantation: a practical introduction by Andrea Garcia-Lopez, Maritza Jiménez-Gómez, Andrea Gomez-Montero, Juan Camilo Gonzalez-Sierra, Santiago Cabas, Fernando Giron-Luque

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Artificial Intelligence as a Problem of Modern Sociology by V. A. Glukhikh, S. M. Eliseev, N. P. Kirsanova

“…All research approaches are united by the hypothesis that natural and artificial intelligence are fundamentally comparable. …”
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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…Feature selection method impacts radiomics models’ performance more than ML algorithms. Best feature selection methods: RFE, LASSO, RF, and Boruta. …”
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Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions by Maryam Abbasi, Paulo Váz, José Silva, Pedro Martins

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Multi-channel HD-SDI video transmission system based on Hi3559 by Wang Yi, Zhang Yu, Qian Hongwen

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Multilabel Classification Using Low-Rank Decomposition by Bo Yang, Kunkun Tong, Xueqing Zhao, Shanmin Pang, Jinguang Chen

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