Muhammad Rizwan Munawar

we propose the development of lightweight convolutional neural network architecture for the automated detection of rice leaf smut and rice leaf blight. In doing so, this research addresses the issue of data scarcity via a practical variance modeling mechanism and a custom filter development mechanism assisted through a reference protocol for filter suppression.

Explainable Artificial Intelligence (XAI) is a field that develops ways to explain predictions made by AI models. In this paper XAI which is a multifaceted approach is discussed which is capable of defining the value of features while producing predictions. Precision medicine and the forecast of cancer’s reaction to a specific treatment or drug efficiency is an area of active research. Drug sensitivity forecasting on massive genomics data is a strenuous process in drug discovery. However, drug… Show more

Explainable Artificial Intelligence (XAI) is a field that develops ways to explain predictions made by AI models. In this paper XAI which is a multifaceted approach is discussed which is capable of defining the value of features while producing predictions. Precision medicine and the forecast of cancer’s reaction to a specific treatment or drug efficiency is an area of active research. Drug sensitivity forecasting on massive genomics data is a strenuous process in drug discovery. However, drug personalization on the other hand is a tedious and arduous matter. Explainable AI is one of the many properties that instills confidence and dependency in AI systems which is why more attention needs to be paid to XAI. This research is a step toward a more profound understanding of deep learning techniques [1] on gene expressions and drug chemical structures. Show less

YOLOv7 advances the state-of-the-art results in object detection by inferring more quickly and accurately than its contemporaries. In this paper, we are going to present our work of implementing this SOTA deep learning model on a soccer gameplay video to detect the players and football.

Pallet racking is an essential element within warehouses, distribution centers, and manufacturing facilities. To guarantee its safe operation as well as stock protection and personnel safety, pallet racking requires continuous inspections and timely maintenance in the case of damage being discovered.

This paper presents a framework for the automated detection of Exudates, an early sign of Diabetic Retinopathy. The paper introduces a classification-extraction-superimposition (CES) mechanism for enabling the generation of representative exudate samples based on limited open-source samples. The paper demonstrates how the manipulation of the Yolov5M output vector can be utilized for exudate extraction and super-imposition, segueing into the development of a custom CNN architecture focused on… Show more

This paper presents a framework for the automated detection of Exudates, an early sign of Diabetic Retinopathy. The paper introduces a classification-extraction-superimposition (CES) mechanism for enabling the generation of representative exudate samples based on limited open-source samples. The paper demonstrates how the manipulation of the Yolov5M output vector can be utilized for exudate extraction and super-imposition, segueing into the development of a custom CNN architecture focused on exudate classification in retinal based fundus images. The performance of the proposed architecture is compared with various state-of-the-art image classification architectures on a wide range of metrics, including the simulation of post deployment inference statistics. A self-label mechanism is presented, endorsing the high performance of the developed architecture, achieving 100% on the test dataset. Show less