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Bibliografiske detaljer
Hovedforfatter:	Yeadluri Prasanthi, P.L.Adithya, S.Sathvik, M.Shanmukha, MD.Ameenulla
Format:	Recurso digital
Sprog:
Udgivet:	Zenodo 2026
Online adgang:	https://doi.org/10.5281/zenodo.19005787
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

MOAT: MobileNet‐Optimized Attention Transfer for Robust and Scalable Dermatology Image Classification
af: Pradeep Radhakrishnan, et al.
Udgivet: (2025)

Classification of Sign-Language Using MobileNet - Deep Learning
af: Tanseem N. Abu-Jamie Prof. Dr. Samy S. Abu-Naser
Udgivet: (2026)

PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition
af: Ngwe, Jia Le, et al.
Udgivet: (2023)

Detection and Localization of Multiple Image Splicing Using MobileNet V1
af: Kadam, Kalyani, et al.
Udgivet: (2021)

Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification
af: Wang, Hao, et al.
Udgivet: (2024)

Differential Spatial Modulation Detection in Uplink Multiuser Massive MIMO Systems Using Optimized Shuffle Attention Convolutional Neural Network With MobileNet V1
af: Poornima R., et al.
Udgivet: (2026)

A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification
af: Ahmadi, Mahdie, et al.
Udgivet: (2024)

JILDYA ‐Net: An Efficient Lightweight Multi‐Class Classification Architecture for Skin Lesions
af: Ayoub Laouarem, et al.
Udgivet: (2025)

Robust and Real-Time Bangladeshi Currency Recognition: A Dual-Stream MobileNet and EfficientNet Approach
af: Subreena, et al.
Udgivet: (2026)

ProvRain: Rain-Adaptive Denoising and Vehicle Detection via MobileNet-UNet and Faster R-CNN
af: Varathakumaran, Aswinkumar, et al.
Udgivet: (2025)

Traumatic brain injury in Latin America and the Caribbean: a call for research
af: Prasanthi Puvanachandra
Udgivet: (2008)

MelanomaNet: Explainable Deep Learning for Skin Lesion Classification
af: Ilyosbekov, Sukhrobbek
Udgivet: (2025)

Bridging the Black Box: An Interpretable Deep Learning Framework for Multi-Class Dermatological Screening
af: Mr. Aniket Kumar, et al.
Udgivet: (2026)

Efficient Breast Cancer Detection and Classification Model by Analyzing Mammogram Images Using ViT ‐Aided MobileNet With LSTM Network Based on Adaptive Segmentation
af: Amarjeet Poonia, et al.
Udgivet: (2026)

SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Diverse Edge Devices via Hardware-Aware Evolutionary Search
af: Chiang, Hung-Yueh, et al.
Udgivet: (2024)

Application of MobileNet and Xception neural networks to identify Sillago sihama populations in Vietnam's coastal waters based on otolith morphology
af: Quyet Thanh Vu, et al.
Udgivet: (2025)

Toward Accessible Dermatology: Skin Lesion Classification Using Deep Learning Models on Mobile-Acquired Images
af: Newaz, Asif, et al.
Udgivet: (2025)

An Intelligent Model of Segmentation and Classification Using Enhanced Optimization‐Based Attentive Mask RCNN and Recurrent MobileNet With LSTM for Multiple Sclerosis Types With Clinical Brain MRI
af: G. Gopichand, et al.
Udgivet: (2025)

RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone
af: Munir, Mustafa, et al.
Udgivet: (2024)

Deep Learning Applications in Dermatology: A Comparative Analysis of Melanoma and Non-Melanoma Skin Image Classification
af: Emine Nur Ozdemir, et al.
Udgivet: (2019)

Exploiting Page Faults for Covert Communication
af: Swaminathan, Sathvik
Udgivet: (2025)

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment
af: Kumar, Arun, et al.
Udgivet: (2026)

Automated Malignant Melanoma Classification Using Convolutional Neural Networks
af: Sebastián Riaño Borda
Udgivet: (2022)

Japanese Dermatological Association Guidelines: Clinical Questions of Guidelines for Melanoma 2025
af: Satoshi Fukushima, et al.
Udgivet: (2025)

MF-GCN: A Multi-Frequency Graph Convolutional Network for Tri-Modal Depression Detection Using Eye-Tracking, Facial, and Acoustic Features
af: Rahman, Sejuti, et al.
Udgivet: (2025)

DB-FGA-Net: Dual Backbone Frequency Gated Attention Network for Multi-Class Brain Tumor Classification with Grad-CAM Interpretability
af: Shreya, Saraf Anzum, et al.
Udgivet: (2025)

DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images
af: Yang, Jin, et al.
Udgivet: (2024)

DragonFruitQualityNet: A Lightweight Convolutional Neural Network for Real-Time Dragon Fruit Quality Inspection on Mobile Devices
af: Haquea, Md Zahurul, et al.
Udgivet: (2025)

An Explainable AI-Driven Framework for Automated Brain Tumor Segmentation Using an Attention-Enhanced U-Net
af: Islam, MD Rashidul, et al.
Udgivet: (2026)

CIFE: Code Instruction-Following Evaluation
af: Gunnu, Sravani, et al.
Udgivet: (2025)

Autonomous Identification of Bridge Concrete Cracks Using Unmanned Aircraft Images and Improved Lightweight Deep Convolutional Networks
af: Fei Song, et al.
Udgivet: (2024)

Criminal Identification Using Machine Learning Face Recognition Techniques
af: Kalluri Venkata Sai Ram, Mrs.MD Mahe Jabeen
Udgivet: (2025)

The Impact of Lesion Focus on the Performance of AI-Based Melanoma Classification
af: Donde, Tanay
Udgivet: (2026)

UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN
af: Yuan, Chunyu, et al.
Udgivet: (2023)

Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet
af: Ishrak, Gazi Hasin, et al.
Udgivet: (2024)

Filling in the Mechanisms: How do LMs Learn Filler-Gap Dependencies under Developmental Constraints?
af: Desai, Atrey, et al.
Udgivet: (2026)

Across the Levels of Analysis: Explaining Predictive Processing in Humans Requires More Than Machine-Estimated Probabilities
af: Nair, Sathvik, et al.
Udgivet: (2026)

SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation
af: Chereddy, Sathvik, et al.
Udgivet: (2025)

Artificial sunflower: Light-induced deformation of photoactive shells
af: Sanagala, Sathvik, et al.
Udgivet: (2024)

Detection of malicious smart contracts by fine‐tuning GPT‐3
af: MSVPJ Sathvik, et al.
Udgivet: (2024)