:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kanakala, Srinivas, Ningappa, Sneha
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2505.00741
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mobile-Friendly Deep Learning for Plant Disease Detection: A Lightweight CNN Benchmark Across 101 Classes of 33 Crops
by: Kumar, Anand, et al.
Published: (2025)

Retinal Disease Classification from Fundus Images using CNN Transfer Learning
by: Akram, Ali
Published: (2026)

Mobile Application for Oral Disease Detection using Federated Learning
by: Narayanan V, Shankara, et al.
Published: (2023)

Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifier
by: Arifin, Khandoker Nosiba, et al.
Published: (2024)

AgriPath: A Systematic Exploration of Architectural Trade-offs for Crop Disease Classification
by: Mooraj, Hamza, et al.
Published: (2026)

Optimizing CNN Architectures for Advanced Thoracic Disease Classification
by: Mirthipati, Tejas
Published: (2025)

A Novel CNN Gradient Boosting Ensemble for Guava Disease Detection
by: Rijon, Tamim Ahasan, et al.
Published: (2025)

Segmentation-free Connectionist Temporal Classification loss based OCR Model for Text Captcha Classification
by: Khatavkar, Vaibhav, et al.
Published: (2024)

Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks
by: Valiente, Rodolfo, et al.
Published: (2019)

Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling
by: Byun, Min Sik, et al.
Published: (2025)

Benchmarking for Practice: Few-Shot Time-Series Crop-Type Classification on the EuroCropsML Dataset
by: Reuss, Joana, et al.
Published: (2025)

Object-Centric Cropping for Visual Few-Shot Classification
by: Abdali, Aymane, et al.
Published: (2025)

A Comparative Study of CNN, ResNet, and Vision Transformers for Multi-Classification of Chest Diseases
by: Jain, Ananya, et al.
Published: (2024)

EMCNet : Graph-Nets for Electron Micrographs Classification
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Embedding -based Crop Type Classification in the Groundnut Basin of Senegal
by: Lisaius, Madeline C., et al.
Published: (2026)

Base and Exponent Prediction in Mathematical Expressions using Multi-Output CNN
by: Salam, Md Laraib, et al.
Published: (2024)

In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data
by: Mena, Francisco, et al.
Published: (2024)

Human Fall Detection using Transfer Learning-based 3D CNN
by: Alam, Ekram, et al.
Published: (2025)

Enhancing Interpretability of AR-SSVEP-Based Motor Intention Recognition via CNN-BiLSTM and SHAP Analysis on EEG Data
by: Yang, Lin, et al.
Published: (2025)

ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM
by: Goenawan, Christofel Rio
Published: (2024)

SNeurodCNN: Structure-focused Neurodegeneration Convolutional Neural Network for Modelling and Classification of Alzheimer's Disease
by: Odimayo, Simisola, et al.
Published: (2024)

CNN-LSTM Hybrid Architecture for Over-the-Air Automatic Modulation Classification Using SDR
by: Padhya, Dinanath, et al.
Published: (2025)

When Better Eyes Lead to Blindness: A Diagnostic Study of the Information Bottleneck in CNN-LSTM Image Captioning Models
by: Gupta, Hitesh Kumar
Published: (2025)

PolypNextLSTM: A lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM
by: Bhattacharya, Debayan, et al.
Published: (2024)

DirPA: Addressing Prior Shift in Imbalanced Few-shot Crop-type Classification
by: Reuss, Joana, et al.
Published: (2026)

On the Generalizability of Foundation Models for Crop Type Mapping
by: Chang, Yi-Chia, et al.
Published: (2024)

Low-Resource Crop Classification from Multi-Spectral Time Series Using Lossless Compressors
by: Cheng, Wei, et al.
Published: (2024)

The problems with using STNs to align CNN feature maps
by: Finnveden, Lukas, et al.
Published: (2020)

PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
by: Pohland, Sara, et al.
Published: (2024)

Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Evaluating BiLSTM and CNN+GRU Approaches for Human Activity Recognition Using WiFi CSI Data
by: Wakili, Almustapha A., et al.
Published: (2025)

Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks
by: Drees, Lukas, et al.
Published: (2023)

Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention
by: Jahin, Md Abrar, et al.
Published: (2025)

A Hybrid Multi-Well Hopfield-CNN with Feature Extraction and K-Means for MNIST Classification
by: Farooq, Ahmed
Published: (2025)

Design and Implementation of FourCropNet: A CNN-Based System for Efficient Multi-Crop Disease Detection and Management
by: Khandagale, H. P., et al.
Published: (2025)

HOG-CNN: Integrating Histogram of Oriented Gradients with Convolutional Neural Networks for Retinal Image Classification
by: Ahmed, Faisal
Published: (2025)

Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
by: Srinivas, Suraj, et al.
Published: (2023)

Cross Domain Early Crop Mapping using CropSTGAN
by: Wang, Yiqun, et al.
Published: (2024)

Uncertainty-Aware Post-Detection Framework for Enhanced Fire and Smoke Detection in Compact Deep Learning Models
by: Joshi, Aniruddha Srinivas, et al.
Published: (2025)

Relating CNN-Transformer Fusion Network for Change Detection
by: Gao, Yuhao, et al.
Published: (2024)