Open Access Peer Reviewed Monthly Est. 2014

British International Journal of Education and Social Sciences

(BIJESS)
ISSN (Print): 4519-6511 | ISSN (Online): 3342-543X
9.82
Impact Factor
13
H-Index
893+
Articles
📄 Br. Int. J. Educ. Soc. Sci. — Volume 13, Issue 2 (2026)
British International Journal of Education and Social Sciences  |  Volume 13, Issue 2  |  2026  |  5 Articles
Open Access Double-Blind Peer Reviewed ISSN: 3342-543X (Online)
📋 Articles — Volume 13, Issue 2
Research Article Pages 7-11
Article 1 of 5

THE THEORY OF SOFT DAEMON AND CULTURAL DOMINATION: A REQUIRED KNOWLEDGE FOR COMMUNITY DEVELOPMENT DISCUSS

It is the nature and one of the principles of life that one human individual tries to control and dominate the other. In this doing, several and many devices have been developed and theories as well. Many instruments have been…

Research Article Pages 1-6
Article 2 of 5

ROLE OF DRUG EDUCATION IN SUSTAINING POSITIVE YOUTH CULTURE AS A NECESSARY REQUIREMENT FOR ADULT EDUCATION AND COMMUNITY DEVELOPMENT IN NIGERIA

Youths are considered to be an important segment of the society because largely they are regarded as the most productive part of every nation. To attain level of development; societies should properly and adequately orient and socialize their youths so…

Research Article Pages 1-12
Article 3 of 5

DATA-DRIVEN DIAGNOSTIC TOOLS FOR BREAST CANCER DETECTION IN CLINICAL DECISION SUPPORT SYSTEMS

Computer-aided diagnosis (CADx) technology has demonstrated enhanced efficacy in breast cancer (BC) detection, which is particularly crucial during primary care physicians' initial evaluation of patients. The work aims to develop novel, user-friendly auxiliary computer aids accessible directly to frontline medical…

Research Article Pages 13-29
Article 4 of 5

INNOVATIVE REASONING IN MULTIMODAL AI: A FRAMEWORK BASED ON TRIZ

This paper investigates the reasoning mechanisms of multimodal AI models through the lens of TRIZ (Theory of Inventive Problem Solving) principles. Multimodal AI, which integrates and processes information from multiple data types such as text, images, and audio, has seen…

Research Article Pages 30-47
Article 5 of 5

COMPUTER VISION TECHNIQUES FOR TRAFFIC SIGN DETECTION IN ADAS APPLICATIONS

This paper presents a comprehensive traffic sign recognition system designed to enhance advanced driver assistance systems (ADAS) and autonomous vehicles. The system employs a three-step algorithm comprising color segmentation, shape recognition, and a neural network-based classification to detect and identify…

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