Search Results for author:
Found 11 papers, 4 papers with code
Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture
The benchmark score for this dataset is AJI 52. 5 and PQ 47. 7, achieved through the implementation of U-Net Architecture.
LM4OPT: Unveiling the Potential of Large Language Models in Formulating Mathematical Optimization Problems
In the rapidly evolving field of natural language processing, the translation of linguistic descriptions into mathematical formulation of optimization problems presents a formidable challenge, demanding intricate understanding and processing capabilities from Large Language Models (LLMs).
Linguistic Intelligence in Large Language Models for Telecommunications
Despite their evaluation across a multitude of analytical and reasoning tasks in various scientific domains, a comprehensive exploration of their knowledge and understanding within the realm of natural language tasks in the telecommunications domain is still needed.
FracAtlas: A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs
Furthermore, any publication that utilizes this resource should acknowledge the original paper, and the authors are encouraged to share their code and models to assist the research community in replicating the experiments and promoting the field of medical imaging.
An Efficient Transfer Learning-based Approach for Apple Leaf Disease Classification
Correct identification and categorization of plant diseases are crucial for ensuring the safety of the global food supply and the overall financial success of stakeholders.
Huruf: An Application for Arabic Handwritten Character Recognition Using Deep Learning
Prominent work has been done in this field focusing mainly on Latin characters.
Fruit Quality Assessment with Densely Connected Convolutional Neural Network
Accurate recognition of food items along with quality assessment is of paramount importance in the agricultural industry.
DEPTWEET: A Typology for Social Media Texts to Detect Depression Severities
Mental health research through data-driven methods has been hindered by a lack of standard typology and scarcity of adequate data.
Two Decades of Bengali Handwritten Digit Recognition: A Survey
This paper will also serve as a compendium for researchers interested in the science behind offline BHDR, instigating the exploration of newer avenues of relevant research that may further lead to better offline recognition of Bengali handwritten digits in different application areas.
Handwritten Digit Recognition
Optical Character Recognition
+1
HEATGait: Hop-Extracted Adjacency Technique in Graph Convolution based Gait Recognition
Biometric authentication using gait has become a promising field due to its unobtrusive nature.
Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
Evaluation on tomato leaf images from the PlantVillage dataset shows that the proposed architecture achieves 99. 30% accuracy with a model size of 9. 60MB and 4. 87M floating-point operations, making it a suitable choice for real-life applications in low-end devices.
