1 citations · 1 across the 9 of their papers we have counts for
9 papers
HydroSense: A Dual-Microcontroller IoT Framework for Real-Time Multi-Parameter Water Quality Monitoring with Edge Processing and Cloud Analytics
Abdul Hasib, A. S. M. Ahsanul Sarkar Akib, Anish Giri
The global water crisis necessitates affordable, accurate, and real-time water quality monitoring solutions. Traditional approaches relying on manual sampling or expensive commerci…
Dual-Modality IoT Framework for Integrated Access Control and Environmental Safety Monitoring with Real-Time Cloud Analytics
Abdul Hasib, A. S. M. Ahsanul Sarkar Akib, Nihal Das Ankur +1
The integration of physical security systems with environmental safety monitoring represents a critical advancement in smart infrastructure management. Traditional approaches maint…
Cloud-Enabled IoT System for Real-Time Environmental Monitoring and Remote Device Control Using Firebase
Abdul Hasib, A. S. M. Ahsanul Sarkar Akib
The proliferation of Internet of Things (IoT) devices has created unprecedented opportunities for remote monitoring and control applications across various domains. Traditional mon…
An IoT-Based Smart Plant Monitoring and Irrigation System with Real-Time Environmental Sensing, Automated Alerts, and Cloud Analytics
Abdul Hasib, A. S. M. Ahsanul Sarkar Akib
The increasing global demand for sustainable agriculture necessitates intelligent monitoring systems that optimize resource utilization and plant health management. Traditional far…
Simultaneous Detection of LSD and FMD in Cattle Using Ensemble Deep Learning
Nazibul Basar Ayon, Abdul Hasib, Md. Faishal Ahmed +4
Lumpy Skin Disease (LSD) and Foot-and-Mouth Disease (FMD) are highly contagious viral diseases affecting cattle, causing significant economic losses and welfare challenges. Their v…
An IoT-Enabled Smart Aquarium System for Real-Time Water Quality Monitoring and Automated Feeding
MD Fatin Ishraque Ayon, Sabrin Nahar, Ataur Rahman +3
Maintaining optimal water quality in aquariums is critical for aquatic health but remains challenging due to the need for continuous monitoring of multiple parameters. Traditional…
A Deep Learning Approach for Automated Skin Lesion Diagnosis with Explainable AI
Md. Maksudul Haque, Rahnuma Akter, A S M Ahsanul Sarkar Akib +1
Skin cancer is also one of the most common and dangerous types of cancer in the world that requires timely and precise diagnosis. In this paper, a deep-learning architecture of the…
Optimizing Stroke Risk Prediction: A Machine Learning Pipeline Combining ROS-Balanced Ensembles and XAI
A S M Ahsanul Sarkar Akib, Raduana Khawla, Abdul Hasib
Stroke is a major cause of death and permanent impairment, making it a major worldwide health concern. For prompt intervention and successful preventative tactics, early risk asses…
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia
Ibne Hassan, Aman Mujahid, Abdullah Al Hasib +4
Countries in South Asia experience many catastrophic flooding events regularly. Through image classification, it is possible to expedite search and rescue initiatives by classifyin…