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Found 13 papers, 5 papers with code
DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack
With deep learning deployed in many security-sensitive areas, machine learning security is becoming progressively important.
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.
MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning
Our study is aimed to give decisions for small or big sports teams on whether one athlete good fit or not for a particular game with the compare several machine learning algorithms to predict human behavior and health using the data collected from mobile devices and sensors placed on patients.
SSDA: Secure Source-Free Domain Adaptation
Source-free domain adaptation (SFDA) is a popular unsupervised domain adaptation method where a pre-trained model from a source domain is adapted to a target domain without accessing any source data.
Performance Analysis of YOLO-based Architectures for Vehicle Detection from Traffic Images in Bangladesh
The task of locating and classifying different types of vehicles has become a vital element in numerous applications of automation and intelligent systems ranging from traffic surveillance to vehicle identification and many more.
Huruf: An Application for Arabic Handwritten Character Recognition Using Deep Learning
Prominent work has been done in this field focusing mainly on Latin characters.
Rethinking Cooking State Recognition with Vision Transformers
To ensure proper knowledge representation of the kitchen environment, it is vital for kitchen robots to recognize the states of the food items that are being cooked.
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.
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
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.
CSVC-Net: Code-Switched Voice Command Classification using Deep CNN-LSTM Network
The proposed pipeline passes the input audio signal through a series of appropriate transformation and augmentation steps enabling the model to achieve an accuracy of 92. 08% on the curated dataset.
Ranked #1 on
Voice Query Recognition
on Banglish
DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions
However, the SOTA (SOTA) methods have been evaluated on clean and challenge-free datasets and overlooked the performance deterioration associated with different challenging conditions (CCs) that obscure the traffic images captured in the wild.
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning
This article proposes a communication-efficient decentralized deep learning algorithm, coined layer-wise federated group ADMM (L-FGADMM).
