Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data by Anwar Ahmed Khan, Shama Siddiqui, Muhammad Shoaib Siddiqui

“…Two protocols FROG‐MAC and UrgMAC have been selected: FROG‐MAC is developed using a simple concept of packet fragmentation, where the packets of lower priority are fragmented to offer an early transmission opportunity to urgent traffic; on the other hand, urgMAC is designed using advanced cross‐layer techniques of two‐tiered service differentiation mechanism, adaptive data rate adjustment mechanism, urgency‐based contention window size adaptation, traffic type adaptive duty cycle, and multimedia message passing. …”
Get full text

ML-extendable framework for multiphysics-multiscale simulation workflow and data management using Kadi4Mat by Somnath Bharech, Yangyiwei Yang, Michael Selzer, Britta Nestler, Bai-Xiang Xu

Get full text

On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions by Paweł Karczmarek, Małgorzata Plechawska-Wójcik, Adam Kiersztyn, Adam Domagała, Agnieszka Wolinska, Steven M. Silverstein, Kamil Jonak, Paweł Krukow

“…In this study Optical Coherence Tomography (OCT) data is applied to assess the different layers of the retina. …”
Get full text

Design of a Prediction Model to Predict Students’ Performance Using Educational Data Mining and Machine Learning by Jayasree R, Sheela Selvakumari

Get full text

Natural sounds can be reconstructed from human neuroimaging data using deep neural network representation. by Jong-Yun Park, Mitsuaki Tsukamoto, Misato Tanaka, Yukiyasu Kamitani

Get full text

Prediction of Solar Radiation Data for Garlic Production in Magelang Regency Using Long Short-Term Memory by Muhammad Safrul Safrudin, Imas Sukaesih Sitanggang, Hari Agung Adrianto, Syarifah Aini

“…The model evaluation results show an indicating good accuracy with a RMSE of 0.1020, a Mean Squared Error (MSE) of 0.0104, and a correlation coefficient of 0.740, although it still has limitations in capturing extreme data fluctuations. …”
Get full text

An Intrusion Detection System over the IoT Data Streams Using eXplainable Artificial Intelligence (XAI) by Adel Alabbadi, Fuad Bajaber

“…The rise in intrusions on network and IoT systems has led to the development of artificial intelligence (AI) methodologies in intrusion detection systems (IDSs). …”
Get full text

Initial Data on Clinical Use of Generic Romiplostim for Second-Line and Subsequent Therapy of Immune Thrombocytopenia in India by Suvir Singh, Komalpreet Kaur

“…No data on the efficacy and safety of the same are available in the India context. …”
Get full text

Environmental Monitoring Smart System with Self-Sustaining Wireless Sensor Network Using Data Validation Algorithms by Kanwal T., Altaf S., Javed M. K.

“…However, our research identifies multiple faults, namely spike fault, out of range fault, outliers, and stuck at fault using a hybrid form of an algorithm. A comparison with the existing algorithm shows that the proposed algorithm improved data validation by 97 % in detecting multiple data faults using Artificial Intelligence techniques.…”
Get full text

Comparison of Industry 4.0, Industry 5.0, and related political initiatives using bibliometric data by Sandra Ramos-Gutiérrez, Isabel García-Gutiérrez

Get full text

Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data by Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh

“…Mapper output and proponents have been implemented, and the map has been used to reduce the function. The execution input key/value pair and output key/value pair have been set. …”
Get full text

Identifying phenotypes in OSA patients with an indication for CPAP treatment using clinical data and experienced symptom severity by Marion Teunissen, Pascal Wielders, Catherine Bolman

“…Cluster analysis has been performed to derive OSA phenotypes. Results Based on the AHI, comorbidity and experienced symptom severity data of 151 patients, a two-step cluster analysis revealed five OSA phenotypes: “no comorbidity”, “hypertension”, “high symptom severity”, “low symptom severity” and “unclassified”. …”
Get full text

Deep Learning Enhanced Feature Extraction of Potholes Using Vision and LiDAR Data for Road Maintenance by Abhiram Karukayil, Christopher Quail, Fernando Auat Cheein

“…Using this data, the models YOLOv5, YOLOv6, YOLOv7, and YOLOv8 were trained and their performance analysed. …”
Get full text

Optimizing casting process using a combination of small data machine learning and phase-field simulations by Xiaolong Pei, Jiaqi Pei, Hua Hou, Yuhong Zhao

“…Abstract It has been a challenge to employ machine learning (ML) to optimize casting processes due to the scarcity of data and difficulty in feature expansion. …”
Get full text

Urban Change Detection in Tirana, Albania (2000–2025) Using Remote Sensing and Open Geospatial Data by L. Haxhiu, B. Aliaj

“…Tirana, the capital of Albania, has experienced rapid and often unregulated urbanization since the early 2000s, resulting in profound changes in land use, environmental conditions, and urban structure. …”
Get full text

Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production by Christian Friedrich, Stefan Vogt, Franziska Rudolph, Paul Patolla, Jossy Milagros Grützmann, Orlando Hohmeier, Martin Richter, Ken Wenzel, Dirk Reichelt, Steffen Ihlenfeldt

“…From the shop floor to the cloud, all service relevant information is structured using existing digital twin standards and a linked data approach. …”
Get full text

AN APPROACH PRIORITIZING THE CAUSAL FACTORS OF LARGE SCALED DATA USING SOFT COMPUTING: A CASE STUDY by Jyoti Prakash MISHRA, Zdzislaw POLKOWSKI, Sambit Kumar MISHRA

Get full text

Two Novel Multidimensional Data Analysis Approaches Using InSAR Products for Landslide Prone Areas by Hamit Beran Gunce, Bekir Taner San

“…Successfully detecting ground deformation, especially landslides, using InSAR has not always been possible. Improvements to existing InSAR tools are needed to address this issue. …”
Get full text

Impact of the COVID-19 pandemic on incidence of psychiatric disorders using nationwide cohort data and ARIMA models by Jun Ho Seo, Myeongjee Lee, Sunghyuk Kang, Se Joo Kim, Inkyung Jung, Jee In Kang

“…Abstract The present study aimed to investigate the impact of the COVID-19 pandemic on the incidence rates of psychiatric disorders using nationwide cohort data. A retrospective cohort study was conducted using South Korea’s nationwide claims database, covering 1,598,540 patients with new psychiatric diagnoses from January 2017 to June 2021. …”
Get full text

RACF: A Multimodal Deep Learning Framework for Parkinson’s Disease Diagnosis Using SNP and MRI Data by Jiangbo Cao, Xiaojing Long

Get full text