Cybersecurity Measures in Financial Institutions Protecting Sensitive Data from Emerging Threats and Vulnerabilities by Boorugupalli Kiran Kumar, Kulkarni Adokshaja Krishnarao, Suzana Amala, M Diwakaran, Ponnusamy Sivakumar, Kumar S Senthil

“…Cybersecurity measures for integrated financial IoT are proposed contribution to the NIST Cybersecurity Framework, including the prevention of cyber threats for automatic teller machines, mobile banking, and electronic payment systems. …”
Get full text

Performance Portrait Method: Robust Design of Predictive Integral Controller by Mikulas Huba, Pavol Bistak, Jarmila Skrinarova, Damir Vrancic

“…Its digitization required the expansion of performance measures used to evaluate the step responses of dynamic systems. Based on process modeling, PPM also contributed to the classification of models describing linear and non-linear dynamic processes so that they approximate their dynamics using the smallest possible number of numerical parameters. …”
Get full text

Enhanced effective convolutional attention network with squeeze-and-excitation inception module for multi-label clinical document classification by M. Venkata Krishna Reddy, L. Raghavendar Raju, Kashi Sai Prasad, Dr. D Anitha Kumari, Vadlamani Veerabhadram, Nagendar Yamsani

Get full text

DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination by Md Shakhawat Hossain, Md. Mahmudur Rahman, M. Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, Md. Aulad Hossain, Amel Ksibi, Mona M. Jamjoom, Zahid Ullah, Md Abdus Samad

Get full text

Developing a Novel Adaptive Double Deep Q-Learning-Based Routing Strategy for IoT-Based Wireless Sensor Network with Federated Learning by Nalini Manogaran, Mercy Theresa Michael Raphael, Rajalakshmi Raja, Aarav Kannan Jayakumar, Malarvizhi Nandagopal, Balamurugan Balusamy, George Ghinea

Get full text

Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture by Arnick Abdollahi, Biswajeet Pradhan, Shilpa Gite, Abdullah Alamri

Get full text

Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes by Chenmeng Zhao, Like Zhao, Ka Zhang, Yinghua Ren, Hui Chen, Yehua Sheng

“…The research presented in this paper provides practical methods for the automatic detection of smoke and flame in natural scenes, which can further enhance the effectiveness of fire monitoring systems.…”
Get full text

Bio-Inspired Hyperparameter Tuning of Federated Learning for Student Activity Recognition in Online Exam Environment by Ramu Shankarappa, Nandini Prasad, Ram Mohana Reddy Guddeti, Biju R. Mohan

“…This includes addressing key challenges such as head pose detection and estimation, which are integral for applications like automatic face recognition, advanced surveillance systems, intuitive human–computer interfaces, and enhancing driving safety measures. …”
Get full text

Identifying COVID-19-Infected Segments in Lung CT Scan Through Two Innovative Artificial Intelligence-Based Transformer Models by Zeinab Momeni pour, Ali Asghar Beheshti Shirazi

“… Introduction: Automatic systems based on Artificial intelligence (AI) algorithms have made significant advancements across various domains, most notably in the field of medicine. …”
Get full text

Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies by Ejay Nsugbe, Oluwarotimi Williams Samuel, Jose Javier Reyes-Lagos, Dawn Adams, Olusayo Obajemu

Get full text

Microservice combination optimisation based on improved gray wolf algorithm by Jingjing Hu, Xiaojun Xu, Jin Hao, Xiuqi Yang, Kefan Qiu, Yuanzhang Li

“…Therefore, aiming to quantify the non-functional requirements of computing microservice systems, while solving the problem of latency in computing the best combination of services with the maximum QoS objective function value, this paper proposes a microservice combination approach based on the QoS model and a CGWO algorithm for optimisation computation for this model. …”
Get full text

Restoration of multi-channel signal loss using autoencoder with recursive input strategy by Jaejun Lee, Yonggyun Yu, Hogeon Seo

“…A dynamic termination criterion monitors reconstruction improvements, automatically stopping iterations when further refinements become negligible. …”
Get full text

Lightweight coal miners and manned vehicles detection model based on deep learning and model compression techniques: A case study of coal mines in Guizhou region by Beijing XIE, Heng LI, Zheng LUAN, Zhen LEI, Xiaoxu LI, Zhuo LI

“…Intelligent recognition of coal mine workers and manned vehicles (coal mine pedestrian-vehicles) is an important component of video surveillance systems and a key task in the development of coal mine intelligence. …”
Get full text

DeepBiteNet: A Lightweight Ensemble Framework for Multiclass Bug Bite Classification Using Image-Based Deep Learning by Doston Khasanov, Halimjon Khujamatov, Muksimova Shakhnoza, Mirjamol Abdullaev, Temur Toshtemirov, Shahzoda Anarova, Cheolwon Lee, Heung-Seok Jeon

Get full text

Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

“…To identify the characteristics of professional development, a computer cluster analysis of texts was carried out using the K-means method of clustering. …”
Get full text

Advancing blood cell detection and classification: performance evaluation of modern deep learning models by Shilpa Choudhary, Sandeep Kumar, Pammi Sri Siddhaarth, Guntu Charitasri, Monali Gulhane, Nitin Rakesh, Feslin Anish Mon, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…Because the present dataset will be an important resource for researchers and developers working on automatic blood cell detection and classification systems, we will make it publicly available under the open-access nature in order to accelerate the collaboration and progress in this field.…”
Get full text

CÁLCULO DE APROXIMACIÓN A LA RAIZ CUADRADA CON EL MÉTODO BABILÓNICO USANDO TRES PARADIGMAS DE PROGRAMACIÓN by Omar Iván Trejos Buriticá, Luis Eduardo Muñoz Guerrero

“…The algorithm presented and the methodology have been shared withstudents of Systems and Computer Engineering of the Technological University of Pereira. …”
Get full text

Stimulating awareness of Precision Farming through gamification: The Farming Simulator case by Tetiana Pavlenko, Dimitrios Argyropoulos, Matthieu Arnoult, Thomas Engel, Yiorgos Gadanakis, Hans W. Griepentrog, Jacob Kambuta, Tamisan Latherow, Alistair J. Murdoch, Richard Tranter, Dimitrios S. Paraforos

Get full text

Robust People Tracking Using an Adaptive Sensor Fusion between a Laser Scanner and Video Camera by Yeong Nam Chae, Yeong-Jae Choi, Yong-Ho Seo, Hyun S. Yang

Get full text

A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

Get full text