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Št. zadetkov: 3
Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning
Puneet Thapar, Manik Rakhra, Deepak Prashar, Leo Mršić, Arfat Ahmad Khan, Seifedine Kadry
Izvirni znanstveni članek
Oznake: skin tumors;cutaneous melanoma;lesions;imaging techniques;cancel detection and diagnosis;melanoma;preprocessing;melignant tumors;
Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, including alcohol and tobacco use, allergies, infections, physical activity, exposure to UV light, viral infections, and the effects of climate change. While the steep death tolls continue rising at an ...
Leto: 2025 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
N-Beats architecture for explainable forecasting of multi-dimensional poultry data
Baljinder Kaur, Manik Rakhra, Nonita Sharma, Deepak Prashar, Leo Mršić, Arfat Ahmad Khan, Seifedine Kadry
Izvirni znanstveni članek
Oznake: poultry;livestock;forecasting;epidemiology;humidity;veterinary diseases;polynomials;
The agricultural economy heavily relies on poultry production, making accurate forecasting of poultry data crucial for optimizing revenue, streamlining resource utilization, and maximizing productivity. This research introduces a novel application of the N-BEATS architecture for multi-dimensional po ...
Leto: 2025 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Enhancing the reliability and accuracy of wireless sensor networks using a deep learning and blockchain approach with DV‑HOP algorithm for DDoS mitigation and node localization
Bhupinder Kaur, Deepak Prashar, Leo Mršić, Ahmad Almogren, Ateeq Ur Rehman, Ayman Altameem, Seada Hussen
Izvirni znanstveni članek
Oznake: wireless network devices;DV-HOP algorithm;blockchain ledger;reliable network devices;deep learning;
Wireless sensor networks (WSNs) are subject to distributed denial-of-service (DDoS) attacks that impact data dependability, mobility of nodes, and energy drain. The remedy to these challenges in this work is a solution based on deep learning integrated with a blockchain-aided distance-vector hop (DV ...
Leto: 2025 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Št. zadetkov: 3
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