• Classifying Critical Software Components Using Multi-Level Formalization and Knowledge Graphs 

  Jeya Mala, D.; Pradeep Reynold, A. (2024-06-26)

  When developing a high-quality software solution for industrial strength real-time systems, the critical software components are indispensable. For such kinds of systems, compromising the testing time due to market ...
• Butterfly Image Identification Using Multilevel Thresholding Segmentasi and Convolution Neural Network Classification with Alexnet Architecture 

  Abdul Fadlil; Maftukhah, Ainin; Sunardi; Sutikno, Tole (2024-06-01)

  Butterflies form a large group called Lepidoptera. Butterflies play an important role in the ecosystem so the lack of knowledge about butterfly species is a problem. Since butterflies are a natural phenomenon and can serve ...
• Mapping Crop Types At a 10 m Scale Using Sentinel-2 Data and Machine Learning Methods 

  Khan, Atiya; H. Patil, Chandrashekhar; D. Vibhute, Amol; Mali, Shankar (2024-06-01)

  Crop classification plays a vital role in crop status monitoring, crop area estimation, and food production. Remote sensing data is widely accepted for crop classification at remote locations. However, crop classification ...
• Hybrid K-means and Principal Component Analysis (PCA) for Diabetes Prediction: 

  Abed Mohammed, Ahmed; Sumari, Putra; Attabi, kassem (2024-06-01)

  Diabetes is the ”silent killer,” stealing the lives of millions of people worldwide. There are many reasons for diabetes, such as increasing glucose, Cholesterol, systolic BP, and Age. These are considered to be the four ...
• Real-time Speech-based Intoxication Detection System: Vowel Biomarker Analysis with Artificial Neural Networks 

  Vital Terlapu, Panduranga; Prasad Reddy Sadi, Ram (2024-05-01)

  Alcohol consumption can lead to vocal health risks and long-term health issues for individuals. The paper introduces a novel dataset that analyzes vowel vocalizations to detect early alcohol consumption. This study examines ...
• Reptile Search Algorithm for Association Rule Mining 

  Boukhalat, Abderrahim; Heraguemi, KamelEddine; Benouis, Mohamed; Boudrah, Brahim; Akhrouf, Samir (2024-06-01)

  Association rule mining (ARM) is a very popular, engaging, and active research area in data mining. It seeks to find valuable connections between different attributes in a defined dataset. ARM, which describes it as an ...
• Milk Spoilage Classification through Integration of RGB and Thermal Data Analysis 

  Nur Farzanah Faghira Kamarudin, Puteri; Mohd Zarifie Hashim, Nik; Mat Ibrahim, Masrullizam; Dwi Sulistiyo, Mahmud (2024-06-26)

  In Malaysia, milk consumption is commonly associated with family households, specifically children. The nutrition in milk is fundamental for children’s growth which is why the parents will ensure their children have ...
• Examining the Expansion and Collaborative Patterns of Artificial Intelligence in Education: A Bibliometric Study 

  Abdulrahman Albinali, Khawla; A. Iahad, Noorminshah; Fadhil Yusof, Ahmad (2024-06-26)

  This research aims to evaluate the existing body of literature on the application of artificial intelligence (AI) in the field of education. Using a bibliometric analysis of 1,192 scholarly articles indexed in the Scopus ...
• A Survey on the MT Methods for Indian Languages: MT Challenges, Availability, and Production of Parallel Corpora, Government Policies and Research Directions 

  Sani, Sudeshna; Vijaya, Samudra; V Gangashetty, Suryakanth (2024-04-01)

  Since 1991, machine translation has been a prominent research area in India, with IIT Kanpur pioneering the original work which has since been expanded to several universities. Only 10 percent of India’s 1.3 billion ...
• Rocking Across Borders : An Analysis of the Musical Differences between Bangladesh and West-Bengal Rock Songs Using Spotify Audio Features 

  Rahman Autul, Moshiur; Dey, Durjoy; Protim Paul, Partha; Raihan Ullah, Mohammed (2024-04-01)

  Over the last few decades, there has been a significant increase in the availability and utilization of large music collections. However, most studies of these collections have been limited to Western music, which hinders ...
• Analyzing the Impact of Discretization Techniques on Real Time Simulation of DC Servo Motor Using FPGA 

  K. Namboothiripad, Mini (2024-03-15)

  This paper explains the strategies to create a hardware-based real time model of DC servomotor by utilizing the FPGA technology that can accurately simulate the behavior of the servomotor in real-time. Such FPGA based ...
• Performance Evaluation of Incremental Conductance and Adaptive HCS MPPT Algorithms for WECS 

  Badawi, Ahmed; Ali, Hassan; M. Elzein, I.; M. Zyoud, Alhareth (2024-03-15)

  This paper presents a novel Maximum Power Point Tracking (MPPT) algorithm designed for Wind Energy Conversion Systems (WECS) to achieve optimal power extraction (Pmax). The controllers employed in this study utilize a ...
• A Novel Approach for Denoising ECG Signals Corrupted with White Gaussian Noise Using Wavelet Packet Transform and Soft-Thresholding 

  Yousuf Mir, Haroon; Singh, Omkar (2024-03-10)

  The electrocardiogram (ECG) is a vital tool for detecting heart abnormalities, However, noise frequently disrupts the signals during recording, reducing diagnostic precision. During wireless recording and portable heart ...
• Meticulous Review: Cutting-Edge Cervix Cancer Stratification Using Image Processing And Machine Learning 

  Bhavsar, Barkha; Shrimali, Bela (2024-03-10)

  Cervical cancer has under the top cancer found in women of developing countries since last many years. Classification of cervical cancer through a traditional microscopic approach is a monotonous and prolonged task. Most ...
• Cyber Resilience Framework: Strengthening Defenses and Enhancing Continuity in Business Security 

  AL-Hawamleh, Ahmad (2024-03-10)

  This study presents a comprehensive Cybersecurity Resilience Framework designed to fortify organizational defenses against the evolving landscape of cyber threats while enhancing business continuity. The aim is to provide ...
• RDMAA: Robust Defense Model against Adversarial Attacks in Deep Learning for Cancer Diagnosis 

  A. Abd El-Aziz, Atrab; A. El-Khoribi, Reda; Eldeen Khalifa, Nour (2024-03-10)

  Attacks against deep learning (DL) models are considered a significant security threat. However, DL especially deep convolutional neural networks (CNN) has shown extraordinary success in a wide range of medical applications, ...
• Design of a Novel Enhanced Machine Learning Model for Early Prediction of Cerebral Stroke Early Prediction of Brain Stroke 

  Shinde, Snehal; P Kurhekar, Manish; Diwan ,Tausif; K Pikle, Nileshchandra; Gulhane, Monali (2024-06-26)

  A stroke can happen when the blood supply to a certain region in the brain’s cortex is abruptly severed. Without adequate blood flow, brain cells will eventually die, and the extent of the damage will be inversely correlated ...
• PrinciResNet Brain Tumor Classification Technique for Multimodal Input-level Fusion Network 

  Usha. M, Padma; G, Kannan; Akshay. S, Sai; S, Giri; Mohammed Huzaifa, Shaik (2024-03-01)

  Brain tumors are a leading cause of mortality in India, with over 28,000 cases reported annually, resulting in more than 24,000 deaths per year as per the International Association of Cancer Registries. Early detection, ...
• Human Detection in Clear and Hazy Weather Based on Transfer Learning With Improved INRIA Dataset Annotation 

  Bouafia, Yassine; Guezouli, Larbi; Lakhlef, Hicham (2024-05-01)

  Human detection plays a pivotal role in many vision-based applications. Effectively detecting humans across diverse environments and situations significantly contributes to enhancing human safety. However, this effectiveness ...
• Exploring Radio Frequency-Based UAV Localization Techniques: A Comprehensive Review 

  Abdulhussein Abdulzahra, Suha; Kadhum M. Al-Qurabat, Ali (2024-04-1)

  UAVs (unmanned aerial vehicles) and WSNs (wireless sensor networks) are now two well-established technologies for monitoring, target tracking, event detection, and remote sensing. Typically, WSN is made up of thousands ...

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