Asim Ali Khan

FRAISE-Net: Scale-aware attention and adaptive cross-scale fusion for strawberry disease inspection

Asim Ali Khan, Rajmeet Singh, Samee U. Khan, Dwarikanath Mahapatra et autres

Early and reliable detection of strawberry foliar diseases is essential for reducing yield loss, limiting unnecessary pesticide use, and supporting timely site-specific crop management. This paper presents FRAISE-Net , a one-stage Strawberry Disease Inspection Network for automated localization and recognition of strawberry …

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Comprehensive Analysis of Demand Response: Benefits and Challenges in Modern Power System

Mariam Naseem, Muhammad Arshad Shehzad Hassan, Umar Farooq, Asim Ali Khan et autres

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Towards smart farming: a real-time diagnosis system for strawberry foliar diseases using deep learning

Asim Ali Khan, Rajmeet Singh, Samee U. Khan, Irfan Hussain

BACKGROUND: Developing an effective machine vision system is crucial to successfully deploying robotic inspection in open field conditions and controlled environments like greenhouses. Robotic arms with vision-based deep learning models offer an efficient, real-time, non-invasive crop monitoring solution. In agricultural settings, they …

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A novel integrating quantitative and qualitative approaches for comprehensive assessment of wastewater: combined water quality and community attitudes

Fatima Fida, Pingping Luo, Misbah Fida, Shuangtao Wang et autres

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A deep straw network for strawberry leaf disease detection

Asim Ali Khan, Kshetrimayum Lochan, Yahya Zweiri, Irfan Hussain

Timely and accurate identification of leaf diseases in strawberries is essential for improving crop health, reducing chemical usage, and ensuring the efficiency of horticultural supply systems. This study introduces the Deep Straw Network (DSN), a novel hybrid deep learning architecture that integrates …

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Enhanced you only look once v5s crack detection and classification technique by optimizing transformer architecture and convolutional complexity

Umar Azam Ali, Muhammad Arshad Shehzad Hassan, Asim Ali Khan, Muhammad Zeeshan Khan et autres

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Plant-Based Medicine for the Treatment of Endocrinal Disorders in the Unani System of Medicine

Ghulamuddin Sofi, Asim Ali Khan

Humors are applicable to all types of bodily fluids derived from nutrition. They comprise diverse categories of hormones and enzymes. According to the Canon of Unani Medicine, the classification of fluids is categorized as either primary or secondary. The Hippocratic doctrine of …

Review on crack detection in civil infrastructure using structural health monitoring and machine learning techniques

Muhammad Zeeshan Khan, Maryam Shahzadi, Asim Ali Khan, Umar Azam Ali et autres

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Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation

Shahad Albastaki, Anabia Sohail, Iyyakutti Iyappan Ganapathi, Basit Alawode et autres

In Computational Pathology (CPath), the introduction of Vision-Language Models (VLMs) has opened new avenues for research, focusing primarily on aligning image-text pairs at a single magnification level. However, this approach might not be sufficient for tasks like cancer subtype classification, tissue phenotyping, …

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Fusion of optimal cross-stage partial net with context-aware segmentation for enhanced damage detection in civil infrastructures using thermal images

Maryam Shahzadi, Muhammad Zeeshan Khan, Asim Ali Khan, Umar Azam Ali et autres

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An Effective Two-time Scale Composite Control Contraction Based Chaotic Trajectory Tracking of Two-link Flexible Manipulator

Kshetrimayum Lochan, Asim Ali Khan, Binoy Krishna Roy, Bidyadhar Subudhi et autres

In this paper, a two-link flexible manipulator n-dimensional model is developed using the assumed modes method. Based on this model, the manipulator dynamics are segregated into two subsystems by the two-time scale decomposition method of singular perturbation. Subsequently, a contraction-based control theory …

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Deep learning approach for detecting tomato flowers and buds in greenhouses on 3P2R gantry robot

Rajmeet Singh, Asim Ali Khan, Lakmal D. Seneviratne, Irfan Hussain

In recent years, significant advancements have been made in the field of smart greenhouses, particularly in the application of computer vision and robotics for pollinating flowers. Robotic pollination offers several benefits, including reduced labor requirements and preservation of costly pollen through artificial …

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