Development of energy converters in discrete ion-plasmodynamic installations with electronic control by A. S. Chipura, M. V. Dolgopolov, D. E. Ovchinnikov, A. V. Radenko, V. V. Radenko

“…Recent innovations include pulsed D-T generators and hybrid laser-plasma systems, yet energy conversion efficiency remains suboptimal (30 %). Our work introduces an electronically controlled plasma generator utilizing lithium hydride evaporation and quadrupole magnetic discretization (Patent RU 2757666), achieving 50 % efficiency via adaptive ion flux synchronization. …”
Get full text

Cloud-Based Internet-of-Things System for Long-Term Bridge Bearing Monitoring Using Computer Vision by Gunhee Kim, Junsik Shin, Jongbin Won, Jongwoong Park

“…The system features an event-driven power mechanism to minimize energy consumption and utilizes vision-based displacement measurement techniques, providing both portability and efficiency. …”
Get full text

GC-MT: A Novel Vessel Trajectory Sequence Prediction Method for Marine Regions by Haixiong Ye, Wei Wang, Xiliang Zhang

“…This study introduces a Graph Convolutional Mamba Network (GC-MT) utilizing AIS data for predicting vessel trajectories. …”
Get full text

Ductile–Brittle Transition Mechanism and Dilute Solution Softening Effect of Body-Centered Cubic Metals by Jie Zhang, Tianliang Zhao, Tingping Hou, Yan Li, Kaiming Wu

“…This mechanism was recently found to be related to the mobility of screw dislocation relative to edge dislocation, a decrease in which can induce a critical drop in the proliferation efficiency of dislocation sources. Furthermore, this paper summarizes the current research on the dilute solution softening effect of BCC metals, which has been frequently observed and studied in refractory alloys. …”
Get full text

Microgrid Resilience Enhancement with Sensor Network-Based Monitoring and Risk Assessment Involving Uncertain Data by Tangxiao Yuan, Kossigan Roland Assilevi, Kondo Hloindo Adjallah, Ayité Sénah A. Ajavon, Huifen Wang

“…This paper focuses on enhancing the resilience of microgrids—localized power systems that integrate multiple energy sources—against challenges such as natural disasters, technological obstacles, and human errors. …”
Get full text

Exploring emerging water treatment technologies for the removal of microbial pathogens by Oluwatobi Victoria Obayomi, Damilare Cornelius Olawoyin, Olumide Oguntimehin, Lukman Shehu Mustapha, Samuel Oluwaseun Kolade, Peter Olusakin Oladoye, Seungdae Oh, Kehinde Shola Obayomi

“…To address this challenge, a variety of methods for removing microbial pathogens from water sources have been developed and implemented. This review provides a thorough exploration of diverse methods utilized for pathogen removal in water treatment, encompassing physical, chemical, and biological approaches. …”
Get full text

Intersections of Big Data and IoT in Academic Publications: A Topic Modeling Approach by Diana-Andreea Căuniac, Andreea-Alexandra Cîrnaru, Simona-Vasilica Oprea, Adela Bâra

“…The intersection of these fields is essential, leading to innovations such as predictive maintenance, real-time traffic management and personalized solutions. Utilizing a dataset of 8159 publications sourced from the Web of Science database, our research employs Natural Language Processing (NLP) techniques and selective human validation to analyze abstracts, titles, keywords and other useful information, uncovering key themes and trends in both Big Data and IoT research. …”
Get full text

Enhanced Occupational Safety in Agricultural Machinery Factories: Artificial Intelligence-Driven Helmet Detection Using Transfer Learning and Majority Voting by Simge Özüağ, Ömer Ertuğrul

“…A transfer learning approach was employed, utilizing nine pre-trained neural networks for the extraction of deep features. …”
Get full text

Deep Water Subsea Energy Storage, Lessons Learned from the Offshore Oil and Gas Industry by Rasmus Juhlin, Alexander H. Slocum, Mohsen Assadi

“…In a future where a large portion of power will be supplied by highly intermittent sources such as solar- and wind-power, energy storage will form a crucial part of the power mix ensuring that there is enough flexibility in the system to cope with the intermittency. …”
Get full text

Stochastic carbon footprint tracing for power systems with uncertainty by Jiashuo Hu, Mengge Shi, Xiao‐ping Zhang, Youwei Jia

“…Abstract The increasing penetration of distributed energy resources (DERs) and renewable energy sources (RESs) requires more granular analysis for accurate carbon footprint tracing. …”
Get full text

Forecasting Electricity Demand in Renewable-Integrated Systems: A Case Study from Italy Using Recurrent Neural Networks by Alessandro Franco, Cecilia Pagliantini

“…Utilizing real consumption data from Terna—Rete Elettrica Nazionale S.p.A.…”
Get full text

GeoGraphRAG: A graph-based retrieval-augmented generation approach for empowering large language models in automated geospatial modeling by Jianyuan Liang, Shuyang Hou, Haoyue Jiao, Yaxian Qing, Anqi Zhao, Zhangxiao Shen, Longgang Xiang, Huayi Wu

“…Geospatial modeling aims to integrate multiple geospatial data sources and geoprocessing functions based on user application demands to address complex geospatial challenges. …”
Get full text

An Adiabatic-Expansion-Induced Perturbation Study on Gas–Aerosol Partitioning in Ambient Air—Formation of NH₄NO₃ and Microdroplet Nitrogen Fixation (2) by Yating Gao, Qinchu Fan, Yujiao Zhu, Hengqing Shen, Qi Yuan, Yang Gao, Huiwang Gao, Xiaohong Yao

“…(3) What factors determine the efficiency of ambient NH₃ generation via microdroplet redox reactions? …”
Get full text

Application of Anionic Hydrogels from Date Palm Waste for Dye Adsorption in Wastewater Treatment by Farid Fadhillah, Abdulrahman G. Alhamzani, Khaled Bin Bandar, Abdullah Alshamari, Saad Aljlil, Abdelrahman G. Gadallah, M. A. Habib, Mortaga M. Abou-Krisha, Mona A. Abdel-Fatah

“…This work aimed to develop an anionic cellulose nanofiber (CNF) bio-adsorbent from date palm tree waste and to investigate its removal efficiency compared to cationic methylene blue dye from contaminated water. …”
Get full text

An Optimal Sizing Methodology for a Wind/PV Hybrid Energy Production System for Agricultural Irrigation in Skikda, Algeria by Nadhir Abderrahmane, Allaoua Brahmia, Adlen Kerboua, Ridha Kelaiaia

“…The proposed approach integrates two main renewable energy sources (while eliminating the use of traditional batteries for electrical energy storage): solar and wind. …”
Get full text

Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…Currently, Machine Learning (ML) and Deep Learning (DL) techniques are utilized to address the security threats in IoT networks. …”
Get full text

Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…A series of experiments were carried out to assess the effectiveness of the model by utilizing key performance metrics such as accuracy, sensitivity, specificity, and F1-score. …”
Get full text

Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…Malware detectors play a critical role in this endeavor, utilizing various techniques such as statistical analysis, static and dynamic analysis, and machine learning (ML) to compare signatures and identify threats. …”
Get full text

Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…This paper resolves these limitations by proposing a comprehensive scheme for multimodal Closed-Circuit Television (CCTV) video analysis. The utilized techniques in this paper comprise the Multimodal Deep Boltzmann Machine (MDBM), Multimodal Variational Autoencoder (MVAE) and Attention-based Fusion Networks, all of which fully utilize the learned representations. …”
Get full text

Intrusion detection system based on machine learning using least square support vector machine by Pratik Waghmode, Manideep Kanumuri, Hosam El-Ocla, Tanner Boyle

“…The hyperparameters of our model are tuned by utilizing those selected features to maximize the accuracy. …”
Get full text