2D Object Detection: A Survey by Emanuele Malagoli, Luca Di Persio

“…Additionally, the survey examines some fundamental components of 2D object detection such as loss functions, datasets, evaluation metrics, and future trends.…”
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Towards a Conceptual Modeling of Trustworthiness in AI-Based Big Data Analysis by Sebastian Bruchhaus, Alexander Kreibich, Thoralf Reis, Marco X. Bornschlegl, Matthias L. Hemmje

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Advancements in Cerebellar Modeling and Its Practical Applications: A Comprehensive Review by Shaojia Huang, Tao Xu, Jiaqing Chen, Jiajia Huang, Zhikun Wang, Ya Ke, Wing Ho Yung

“…The cerebellum plays a crucial role in motor learning and memory, and recent studies have proposed various cerebellar models to investigate these functions. …”
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Variational autoencoder-based multipath clustering algorithm for terahertz channels by HAO Xinyu, LIAO Xi, ZHENG Xiangquan, WANG Yang, LIN Feng, CHEN Qianbin, ZHANG Jie

“…Secondly, K-Means clustering was embedded into the VAE framework, with joint optimization of reconstruction loss, KL divergence, and clustering loss functions to resolve the challenges of feature separation in unsupervised learning. …”
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Learners' Perspectives on Networked Collaborative Interaction With Native Speakers of Spanish in the US by Lina Lee

“…In addition, the NNSs praised the unique learning condition of being exposed to a wide range of functional language discourse produced by the NSs. …”
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A Lightweight Convolutional Neural Network for Classification of Brain Tumors Using Magnetic Resonance Imaging by Mahir Kaya, Alper Özatılgan

“…The brain, which controls important vital functions such as vision, hearing and movement, negatively affects our lives when it is sick. …”
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Data Augmentation by Synthesizing IMU Data of Physiotherapeutic Exercises using Musculoskeletal Models by Andreas Spilz, Michael Munz

“…The augmented dataset is used to improve the performance of a deep learning based exercise evaluation system. The approach is demonstrated using the deep squat exercise from the Functional Movement Screening (FMS) protocol. …”
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A cognition‐inspired trajectory prediction method for vehicles in interactive scenarios by Shanshan Xie, Jiachen Li, Jianqiang Wang

“…Methods based on deep learning can fit complex functions, but they usually focus on vehicles' behavioral characteristics. …”
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Fluorescence spectroscopic profiling of urine samples for predicting kidney transplant rejection by Zhe Yang, Minrui Zhang, Xianduo Li, Zhipeng Xu, Yi Chen, Xiaoyu Xu, Dongdong Chen, Lingquan Meng, Xiaoqing Si, Jianning Wang

“…Rejection is the primary factor affecting the functionality of a kidney post-transplant, where its prompt prediction of risk significantly influences therapeutic strategies and clinical outcomes. …”
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The Response of Ionospheric Currents to External Drivers Investigated Using a Neural Network‐Based Model by Xin Cao, Xiangning Chu, Jacob Bortnik, James M. Weygand, Jinxing Li, Homayon Aryan, Donglai Ma

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Smart train control and monitoring system with predictive maintenance and secure communications features by Alfian Akbar Gozali, Muhammad Faris Ruriawan, Andry Alamsyah, Yudha Purwanto, Ade Romadhony, Febry Pandu Wijaya, Fifin Nugroho, Dewi Nala Husna, Agri Kridanto, Anang Fakhrudin, Mu’ammar Itqon, Sri Widiyanesti

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Nonequilibrium molecular dynamics study on thermal conductivity of spinel AB2O4 by Jiaqi Liang, Jiaxi Liu, Yifan Jing, Huicheng Yang, Shengmin Zhou, Yongpeng Xia, Fen Xu, Lixian Sun, Pengru Huang

“…Employ machine learning to fit DFT calculation data to obtain interatomic potential functions for molecular dynamics simulations. …”
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Usage of hypercomplex numbers in a cryptographic key agreement protocol based on neural networks by Павел Павлович Урбанович, Надежда Павловна Шутько

“…We analyse the features of the structural and functional organisation of two interacting neural networks based on the known architecture in the form of a tree parity machine (TPM) using algebras of real and hypercomplex numbers. …”
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Potential application of Healitide-GP1, a novel antibacterial peptide, in wound healing: in vitro studies by Hadi Zare-Zardini, Sima Sadat Seyedjavadi

“…Healitide-GP1 was synthesized and functionally validated. It showed high cytocompatibility (> 200 µg/mL in human dermal fibroblasts (HDF) and human keratinocytes (HaCaT)), improved wound closure (48% and 52% after 24 h, respectively) and strong antibacterial activity against Staphylococcus aureus (MIC: 12.5 µg/mL) and Escherichia coli (MIC: 25 µg/mL). …”
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Acceptance and Use of Digital Technology by Students in India After the Covid-19 Pandemic by Chandra B P Singh

“…Taking it into consideration the study aimed to analyze learning styles of learners and trace its functional linkages to continuance usage of digital technology. …”
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PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE STUDENTS TEAM ASSISTED DIVISION PADA KELAS VIRTUAL by Syanet Frans, Theresia Laurens, Darma Andreas Ngilawajan

“…This study aims to determine the use of the Students Team Assisted Division (STAD) type of cooperative learning model in a virtual classroom and its effect on learning outcomes of limit algebraic functions in class XI students of SMA Negeri 12 Ambon. …”
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Enhancing Road Safety on US Highways: Leveraging Advanced Computer Vision for Automated Guardrail Damage Detection and Evaluation by Alfarooq Al Oide, Dmitry Manasreh, Mohammad Karasneh, Mohamad Melhem, Munir D. Nazzal

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Optimizing Car Collision Detection Using Large Dashcam-Based Datasets: A Comparative Study of Pre-Trained Models and Hyperparameter Configurations by Muhammad Shahid, Martin Gregurić, Amirhossein Hassani, Marko Ševrović

“…Our methodology systematically investigates the influence of optimizers, loss functions, schedulers, and learning rates on model generalization. …”
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A Comprehensive Computer-Aided Review of Trends in Heterogeneous Catalysis and Its Theoretical Modelling for Engineering Catalytic Activity by Gerardo Valadez Huerta, Kaoru Hisama, Michihisa Koyama

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Real-Time Quality Monitoring and Anomaly Detection for Vision Sensors in Connected and Autonomous Vehicles by Elena Politi, Charalampos Davalas, Christos Chronis, George Dimitrakopoulos, Dimitrios Michail, Iraklis Varlamis

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