Notice Board :

Call for Paper
Vol. 7 Issue 9

Submission Start Date:
Sep 01, 2026

Acceptence Notification Start:
Sep 10, 2026

Submission End:
Sep 25, 2026

Final MenuScript Due:
Sep 30, 2026

Publication Date:
Sep 30, 2026
                         Notice Board: Call for PaperVol. 7 Issue 9      Submission Start Date: Sep 01, 2026      Acceptence Notification Start: Sep 10, 2026      Submission End: Sep 25, 2026      Final MenuScript Due: Sep 30, 2026      Publication Date: Sep 30, 2026




Volume VII Issue IX

Author Name
S Gomathi, Madhumithaa GV, Swathi G
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 9
Abstract
This paper presents the design and implementation of an autonomous Fire Fighting Robot using the Arduino Uno. The proposed system integrates flame sensors, an MQ-2 smoke sensor, DC motors, a servo-controlled water pump, an LCD display, and alert mechanisms to detect and extinguish fire without human intervention. The robot continuously monitors environmental conditions by sensing the presence of smoke and flame in its surroundings. When smoke is detected beyond a predefined threshold level, the system activates a warning using a yellow LED indicator and a buzzer to provide an early alert. If a flame is identified, a fire alert is triggered through a red LED and audio alarm. After confirming the presence of fire, the robot automatically navigates toward the flame source using its motor mechanism. Once it reaches the fire location, the water pump is activated, and the servo motor oscillates to spray water effectively over the affected area until the flame is extinguished. The LCD display
PaperID
2026/IJEASM/7/2026/3494

Author Name
Komal Pareek, Syed Shahab Ahmed
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 9
Abstract
Microbial secondary metabolites are important sources of natural compounds when compared toothers with potential, beneficial the rapeutic applications. There are chances of discovery of new Streptomyces species and new compounds from there spective genus. Due to ever and over increasing resistance of pathogenic bacteria tour currentarsenal of antibiotics , a great need exists for the isolation and discovery of new antibiotics and other drug agents. Based on the above concept actinomy cetesaremainly targeted for secondary metabolites production and evaluation of compounds therapeutically.
PaperID
2026/IJEASM/9/2026/3495

Author Name
Ankit Mehto, Pritaj Yadav
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 9
Abstract
Breast cancer remains one of the most prevalent malignancies affecting women worldwide, and early detection through mammographic screening continues to be the most effective strategy for reducing mortality. Manual interpretation of mammograms, however, is time-consuming, subject to inter-observer variability, and constrained by radiologist availability, particularly in resource-limited settings. This paper presents a machine learning-based framework for automated detection and classification of breast abnormalities (masses, calcifications, and architectural distortions) from digital mammographic images. The proposed pipeline integrates image pre-processing (noise removal, contrast-limited adaptive histogram equalisation, and breast-region segmentation), handcrafted and deep feature extraction using a convolutional neural network (CNN) backbone, and a classification stage that distinguishes benign from malignant findings. The framework is evaluated conceptually against benchmark mammogr
PaperID
2026/IJEASM/9/2026/3497

Author Name
Mehzabin Shaikh, Trilok Singh
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 9
Abstract
The rapid integration of Artificial Intelligence (AI) into enterprise modernization is transforming organizational processes, decision-making, operational efficiency, and risk management while simultaneously introducing new cybersecurity and governance challenges. This research develops a theoretical framework for integrating AI-driven modernization with cybersecurity and enterprise risk management (ERM) to strengthen intelligent risk governance, threat mitigation, and organizational resilience. The study adopts a qualitative research approach based on a review of existing academic literature, industry reports, cybersecurity frameworks, and relevant case studies. The proposed framework conceptualizes AI, modernization, cybersecurity, and ERM as interconnected components rather than isolated organizational functions. It emphasizes continuous risk identification, intelligent threat detection, predictive risk assessment, automated response, governance oversight, regulatory alignment, and
PaperID
2026/IJEASM/9/2026/3498