D. Banerjee

发表

AI-Driven Sunflower Disease Multiclassification: Merging Convolutional Neural Networks and Support Vector Machines

Satvik Vats, Bhawna Goyal, Vishal Jain, 2023, International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-].

Enhancing Mango Fruit Disease Severity Assessment with CNN and SVM-Based Classification

S. Hariharan, Vishal Jain, Deepak Banerjee, 2023, 2023 IEEE 8th International Conference for Convergence in Technology (I2CT).

CNN-SVM Model for Accurate Detection of Bacterial Diseases in Cucumber Leaves

S. Hariharan, S. Dutta, Vinay Kukreja, 2023, 2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC).

Hybrid CNN & Random Forest Model for Effective Guava Leaf Disease Diagnosis

D. Banerjee, Vinay Kukreja, Aditya Verma, 2023, 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE).

Elevating Grape Leaf Disease Identification Through Integrated CNN-Random Forest Approach

Siddhant Thapliyal, D. Banerjee, Vinay Kukreja, 2023, 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE).

Hybridizing CNN and SVM for Precise Arhul Flower Disease Diagnosis and Classification

Rishika Yadav, V. Kukreja, D. Banerjee, 2023, 2023 3rd Asian Conference on Innovation in Technology (ASIANCON).

Effective Disease Detection in Bean Leaves Using Deep CNN and SVM Ensemble

Rishika Yadav, V. Kukreja, D. Banerjee, 2023, 2023 3rd Asian Conference on Innovation in Technology (ASIANCON).

Combining CNN and SVM for Accurate Identification of Ridge Gourd Leaf Diseases

V. Kukreja, D. Banerjee, A.M. Gupta, 2023, 2023 3rd Asian Conference on Innovation in Technology (ASIANCON).

Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases

S. Hariharan, Vishal Jain, V. Kukreja, 2023, 2023 World Conference on Communication & Computing (WCONF).

Predicting Tulip Leaf Diseases: A Integrated CNN and Random Forest Approach

S. Hariharan, Vishal Jain, V. Kukreja, 2023, 2023 World Conference on Communication & Computing (WCONF).

Revolutionizing Rice Disease Diagnosis: A Fusionof Convolutional Neural Networks and Support Vector Machines

D. Bordoloi, V. Kukreja, D. Banerjee, 2023, 2023 World Conference on Communication & Computing (WCONF).

Innovative Hybrid Framework for Precise Wheat Disease Identification: Stacked CNN Meets SVM

Satvik Vats, V. Kukreja, D. Banerjee, 2023, 2023 World Conference on Communication & Computing (WCONF).

An Ensemble Approach of CNN and SVM for Precise Classification of Sweet Corn Leaf Diseases

Manika Manwal, Vikrant Sharma, V. Kukreja, 2023, 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT).

Automated Diagnosis of Marigold Leaf Diseases using a Hybrid CNN-SVM Model

S. Hariharan, Vandana Sharma, Vishal Jain, 2023, 2023 8th International Conference on Communication and Electronics Systems (ICCES).

Leprosy Skin Lesion Detection: An AI Approach Using Few Shot Learning in a Small Clinical Dataset

S. A. Reddy, G. Sunkara, M. Venkatachalapathy, 2023 .

Enhancing Snake Plant Disease Classification through CNN-Random Forest Integration

Vinay Kukreja, Manika Manwal, D. Banerjee, 2023, 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE).

Integrated CNN-SVM Approach for Accurate Radish Leaf Disease Classification: A Comparative Study and Performance Analysis

Vinay Kukreja, Manisha Aeri, D. Banerjee, 2023, 2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS).

Advanced Techniques for Sweet Potato Leaf Disease Detection: A CNN-SVM Hybrid Approach

Kanwarpartap Singh Gill, Swati Devliyal, D. Banerjee, 2024, 2024 3rd International Conference for Innovation in Technology (INOCON).

Synergistic Detection: A Hybrid CNN-XGBoost Model for Cherry Leaf Spot Magnitude Differentiation

D. Banerjee, Bura Vijay Kumar, Neha Sharma, 2024, 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM).