Integrated production-distribution planning optimization models: A review in collaborative networks context by Beatriz Andres, Raquel Sanchis, Jaques Lamothe, Leila Saari, Frederic Hauser

“…Researchers in the area of collaborative networks are more and more aware of proposing collaborative approaches to address planning processes, due to the advantages associated when enterprises perform integrated planning models. …”
Get full text

Key Technologies for Intelligent Control of Heavy-Haul Trains Focusing on Safe and Efficient Operation by WANG Qingyuan, WEI Mi, HU Yunqing, WANG Jianhua, JIANG Fan, ZHANG Zhengfang, WANG Kaiyun

“…Considering the developmental trends towards automation and intelligence in China's heavy-haul railways, as well as the severe challenges that the continuous growth in heavy-haul railway transportation demands poses to existing train operational control, this paper presents the current research status of key technologies for the intelligent control of heavy-haul trains and analyzes pressing issues and future trends. …”
Get full text

A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning by Aleksander Radovan, Leo Mršić, Goran Đambić, Branko Mihaljević

“…This paper provides a comprehensive review of current methodologies and technologies used for passenger counting, without the actual implementation of the automatic passenger counting system (APC), but with a proposal based on image processing and machine learning techniques and concepts, since it represents one of the most used approaches. The research explores various technologies and algorithms, like card swiping, infrared, weight and ultrasonic sensors, RFID, Wi-Fi, Bluetooth, LiDAR, thermos cameras, including CCTV cameras and traditional computer vision methods, and advanced deep learning approaches, highlighting their strengths and limitations. …”
Get full text

RF-Based UAV Detection and Identification Enhanced by Machine Learning Approach by Yash Vasant Ahirrao, Rana Pratap Yadav, Sunil Kumar

Get full text

A Literature Review on Security in the Internet of Things: Identifying and Analysing Critical Categories by Hannelore Sebestyen, Daniela Elena Popescu, Rodica Doina Zmaranda

“…From leveraging machine learning and blockchain for anomaly detection and real-time threat response to optimising lightweight algorithms for resource-limited devices, researchers propose innovative and adaptive solutions to address emerging threats. …”
Get full text

High-Speed 3D Vision Based on Structured Light Methods by Leo Miyashita, Satoshi Tabata, Masatoshi Ishikawa

Get full text

Role of Artificial Intelligence in Dentistry by V. Hysenaj-Cakolli, B. Kolgeci, V. Hysenaj-Hoxha, D. Kolgeci

“…While AI holds great potential, it should complement human expertise rather than replace it. Future research should focus on enhancing AI algorithms, expanding training datasets, and integrating AI seamlessly into dental practice. …”
Get full text

A Spatial–Temporal Time Series Decomposition for Improving Independent Channel Forecasting by Yue Yu, Pavel Loskot, Wenbin Zhang, Qi Zhang, Yu Gao

Get full text

Predicting software reuse using machine learning techniques-A case study on open-source Java software systems. by Matthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim, Yuen Yee Yen

“…This paper proposes automating software reuse prediction by leveraging machine learning (ML) algorithms, enabling future research and practitioners to better identify highly reusable software. …”
Get full text

STATE-OF-THE-ART OF MACHINE LEARNING IN NEURO DEVELOPMENT DISORDER: A SYSTEMATIC REVIEW by Lilian Yen Wei Lee, Ag Asri Ag Ibrahim, Rayner Alfred

“…While existing reviews often lack detailed discussions on the specific ML algorithms, datasets, and performance metrics employed in NDD prediction and detection, this study aims to address this gap by examining two primary aspects: prediction and detection. …”
Get full text

Evaluative representations of the student audience in the context of current processes in Donbas: comparison of studies by L. B. Vnukova

“…Due to the difficulty of reaching respondents in new territories, the survey was conducted using the "snowball" method. The main research method is a comparative analysis of the data obtained using sociological information and relevant academic research. …”
Get full text

About need to improve game resource management by V. G. Safonov, V. M. Glushkov

Get full text

The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

“…Brain tumor detection is crucial in medical research due to high mortality rates and treatment challenges. …”
Get full text

Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…Overall, this review outlines current innovations and future research directions essential for advancing personalized, efficient, and accessible fertility care.…”
Get full text

Systematic computer analysis of published literature on nutritional support for vaccination by A. G. Chuchalin, I. Yu. Torshin, O. A. Gromova

Get full text

A Review of Embodied Grasping by Jianghao Sun, Pengjun Mao, Lingju Kong, Jun Wang

“…First, we summarize the embodied foundations, including cutting-edge embodied robots, simulation platforms, publicly available datasets, and data acquisition methods, to fully understand the research focus. Then, the embodied algorithms are introduced, starting from pre-trained models, with three main research goals: (1) embodied perception, using data captured by visual sensors to perform point cloud extraction or 3D reconstruction, combined with pre-trained models, to understand the target object and external environment and directly predict the execution of actions; (2) embodied strategy: In imitation learning, the pre-trained model is used to enhance data or as a feature extractor to enhance the generalization ability of the model. …”
Get full text

Dataset on fatal road traffic crash attributes extracted via natural language processing of online media articles in IndiaMendeley Data by Ashutosh Ashutosh, Sai Chand

“…This study provides a replicable framework for constructing robust datasets from media sources, enabling multidisciplinary research on transportation safety, media reporting and public perception of crashes. …”
Get full text

PRACTICAL IMPLEMENTATION OF HARDWARE AND SOFTWARE COMPLEX FOR PLANAR MEASUREMENTS OF ANTENNA CHARACTERISTICS IN THE NEAR ZONE by A. G. Buday, A. P. Grinchuk, A. V. Gromyko

Get full text

Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries by Polina Lemenkova

“…Such methods are proposed by R and Python programming languages that include libraries of machine learning algorithms for the data processing used in this research: {tidyverse}, {ggsignif}, {ggplot} and {magrittr} by R, StatsModels, Matplotlib, NumPy, Pandas and Seaborn by Python. …”
Get full text

Effective Parallel Processing Social Media Analytics Framework by Ravindra Kumar Singh, Harsh Kumar Verma

“…In recent years lots of research were conducted and various machine learning algorithms were developed around the processing of data to achieve higher accuracy while reducing the processing time is still challenging. …”
Get full text