Volume- 14, Issue- 02, Page- 34 to 44
Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of autism spectrum disorder (ASD) detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from
Volume- 02, Issue- 01, Page- 46 to 61
Rapport orientations are not frequently explored in educational discourse, despite their significant role in enhancing or maintaining relationships between students and teachers, and in avoiding or mitigating embarrassing situations. This paper aims to investigate the rapport orientations of students and teachers based on Spencer-Oatey’s (2008) theory. A descriptive-analytical method was adopted to analyze and interpret
Volume- 11, Issue- 2, Page- 1 to 19
In the face of increasing cyber threats, this research paperwork presents advanced security automation program (ASAP) a revolutionary solution aimed at addressing modern cyber threats through the utilization of artificial intelligence (AI) and open-source technologies. Unlike conventional security systems like (SIEMs) security information and event management (SIEM) and& (SOCs) security operations centerre (SOC), ASAP provides
Volume- 14, Issue- 03, Page- 44 to 51
Non-alcoholic fatty liver disorders (NAFLD) are defined by the accumulation of excess fat in the liver that has no other cause, such as drinking alcohol. Pyruvate dehydrogenase has been established as an alternative treatment for this disorder. NAFLD pathogenesis is complex and includes oxidative stress inflammatory processes and mitochondrial dysfunction. Impaired liver fatty acid oxidation
Volume- 10, Issue- 01, Page- 32 to 37
The automation of pallet recognition and localization is a widely investigated and sought topic, notably for forklift robots and pallet-picking instruments. Pallets are essential in warehouses and retail establishments. However, pallet recognition and pallet localization can be time-consuming and prone to errors, which can result in reduced efficiency and safety hazards. To address this, we
Volume- 11, Issue- 03, Page- 1 to 7
Phishing attacks remain a significant cybersecurity challenge, requiring innovative detection strategies. This study investigates the use of machine learning to detect phishing URLs, to improve the accuracy and reliability of detection systems. Utilizing a diverse dataset of legitimate and phishing URLs we extracted the features such as lexical properties, domain-specific details, and HTML content to
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