Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies by Mohammad Khalili, Hamzehali Nourmohammadi, Nader Naghshineh

“…Assessing, evaluating, and identifying crime patterns, as well as detecting and preventing criminal activities, have been the focal points of judicial and law enforcement agencies since ancient times. …”
Get full text

Applications of artificial intelligence in regenerative dentistry: promoting stem cell therapy and the scaffold development by Elham Saberian, Andrej Jenča, Andrej Jenča, Hadi Zare-Zardini, Mohammad Araghi, Adriána Petrášová, Janka Jenčová

“…Artificial intelligence possesses the capability to analyze data patterns through learning algorithms. Research opportunities in the rapidly expanding field of health sciences have been made possible by the use of artificial intelligence (AI) technologies. …”
Get full text

Role of Artificial Intelligence and Machine Learning to Create Predictors, Enhance Molecular Understanding, and Implement Purposeful Programs for Myocardial Recovery by Frederick M. Lang, Benjamin C. Lee, Dor Lotan, Mert. R. Sabuncu, Veli K. Topkara

“…By identifying novel patterns in high-dimensional data, artificial intelligence (AI) and machine learning (ML) algorithms can enhance the identification of key predictors and molecular drivers of myocardial recovery. …”
Get full text

Augmenting TikTok shop adoption: The mediating role of Key Opinion Consumers (KOCs) in live streaming, video content, and Artificial Intelligence (AI) recommendations by Minh Thi Hong Le, Hieu Ngoc Minh Pham, Ly Thi Truc Nguyen, Thuy Thi Xuan Le, Suong Thi Mai Nguyen

“…The findings indicate that KOCs play a crucial role in mediating TikTok use patterns and uptake. This research enhances the comprehension of media use within the framework of uses and gratification, both in terms of theoretical and empirical aspects.…”
Get full text

A study of Mandelbrot and Julia Sets via Picard-Thakur iteration with s-convexity. by Bashir Nawaz, Krzysztof Gdawiec, Kifayat Ullah, Maggie Aphane

“…Nowadays, many researchers are employing various iterative techniques to analyse the dynamics of fractal patterns. …”
Get full text

Identifying Suicidal Ideation Through Automatic Extraction of Emotional Traces in Suicide Notes by Angel Hernandez-Castaneda, Rene Arnulfo Garcia-Hernandez, Yulia Ledeneva

Get full text

Optimising Insider Threat Prediction: Exploring BiLSTM Networks and Sequential Features by Phavithra Manoharan, Wei Hong, Jiao Yin, Hua Wang, Yanchun Zhang, Wenjie Ye

“…In this research, we introduce a novel approach based on bidirectional long short-term memory (BiLSTM) networks that effectively captures and analyses the patterns of individual actions and their sequential dependencies. …”
Get full text

Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane, Daniel Maposa

“…Future research could focus on enhancing prediction accuracy through hybrid algorithms and incorporating additional meteorological variables. …”
Get full text

Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review by Yunyun Cheng, Rong Cheng, Ting Xu, Xiuhui Tan, Yanping Bai

“…Since the outbreak of COVID-19, there has been an influx of research on predictive modelling, with artificial intelligence (AI) techniques, particularly machine learning (ML) methods, becoming the dominant research direction due to their superior capability in processing multidimensional datasets and capturing complex nonlinear transmission patterns. …”
Get full text

AUTOMATION OF INNOVATIVE DEVELOPMENT MANAGEMENT OF THE RUSSIAN ARCTIC ZONE by O. Klementeva, S. Chernogorskiy, K. Shvetsov

“…The subject of research is the model-algorithmic support of the automated system providing for innovative activities within the Russian Arctic zone.The article is aimed to work out the theoretical and practical methods for automation of the regional innovative system management with application of modern information technologies. …”
Get full text

Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach by Pahavalan Rajkumardheivanayahi, Ryan Berry, Nicholas U. Costagliola, Lance Fiondella, Nathaniel D. Bastian, Gokhan Kul

“…Machine learning based NIDS models leverage algorithms that learn from historical network traffic data to identify patterns and anomalies to capture complex relationships. …”
Get full text

A Comparative Study of Rhythmic Complexity Measures in Music Performance by Cihan Yaygın, Ozan Baysal, Yavuz Buruk, Barış Bozkurt

“…The research focuses on five rhythmic complexity measures: Lempel-Ziv, Keith, Tanguiane, Weighted Note-to-Beat Distance (WNBD), and Pressing. …”
Get full text

Enhancing Transpiration Estimates: A Novel Approach Using SIF Partitioning and the TL-LUE Model by Tewekel Melese Gemechu, Baozhang Chen, Huifang Zhang, Junjun Fang, Adil Dilawar

Get full text

Rice seed integrity evaluation: Developing a rapid onsite system to check seed fraud using a portable NIR spectroscopic device coupled with smartphone technology by Ernest Teye, Charles Lloyd Yeboah Amuah, Vida Gyimah Boadu, Kwadwo Anokye Dompreh, Maxwell Darko Asante, Francis Padi Lamptey, Stephen Narh, Daniel Dzorkpe Gamenyah, George Oduro Nkansah, Selorm Akaba

Get full text

Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. by Ridhanya Sree Balamurugan, Yusuf Asad, Tommy Gao, Dharmakeerthi Nawarathna, Umamaheswara Rao Tida, Dali Sun

“…Advanced data preprocessing techniques and ML algorithms to learn patterns from the absorption profiles that distinguish different amino acids were investigated to prove the feasibility of this approach. …”
Get full text

Restoring flowcell type and basecaller configuration from FASTQ files of nanopore sequencing data by Jun Mencius, Wenjun Chen, Youqi Zheng, Tingyi An, Yongguo Yu, Kun Sun, Huijuan Feng, Zhixing Feng

“…These parameters are essential for many analysis algorithms, and their misapplication can lead to significant drops in performance. …”
Get full text

Appraisal and analysis on various web service composition approaches based on QoS factors by M. Rajeswari, G. Sambasivam, N. Balaji, M.S. Saleem Basha, T. Vengattaraman, P. Dhavachelvan

“…We have illustrated the related technology by analyzing QoS parameters based on existing algorithms with composition patterns and compared the results.…”
Get full text

Automated Cough Analysis with Convolutional Recurrent Neural Network by Yiping Wang, Mustafaa Wahab, Tianqi Hong, Kyle Molinari, Gail M. Gauvreau, Ruth P. Cusack, Zhen Gao, Imran Satia, Qiyin Fang

“…These findings provide insights into the strengths and limitations of various algorithms, highlighting the potential of CRNNs in analyzing complex cough patterns. …”
Get full text

Classification Model for Bot-IoT Attack Detection Using Correlation and Analysis of Variance by Firgiawan Faira, Dandy Pramana Hostiadi

“…Industry 4.0 requires secure networks as the advancements in IoT and AI exacerbate the challenges and vulnerabilities in data security. This research focuses on detecting Bot-IoT activity using the Bot-IoT UNSW Canberra 2018 dataset. …”
Get full text

Analyzing the performance of biomedical time-series segmentation with electrophysiology data by Richard Redina, Jakub Hejc, Marina Filipenska, Zdenek Starek

Get full text