[PDF][PDF] Enhanced speckle noise reduction in breast cancer ultrasound imagery using a hybrid deep learning model

N Reddy, C Chitteti, S Yesupadam… - … des Systèmes d' …, 2023 - academia.edu
Ultrasonic imaging serves as a pivotal tool in mitigating overdiagnosis of breast cancer in
women, owing to its high sensitivity, low false-positive rate, and ability to reduce …

[PDF][PDF] Enhanced SVM Model with Orthogonal Learning Chaotic Grey Wolf Optimization for Cybersecurity Intrusion Detection in Agriculture 4.0.

KS Shaik, NS Kumar Thumboor, SP Veluru… - International Journal of …, 2023 - iieta.org
Accepted: 29 June 2023 Smart agriculture, also known as Agriculture 4.0, integrates cutting-
edge technology with conventional farming practices through the agricultural Internet of …

[PDF][PDF] Advanced dental implant system classification with pre-trained CNN models and multi-branch spectral channel attention networks

SR Vemula, M Vemula… - Acadlore Trans. Mach …, 2024 - library.acadlore.com
Dental implants (DIs) are prone to failure due to uncommon mechanical complications and
fractures. Precise identification of implant fixture systems from periapical radiographs is …

[PDF][PDF] Segmentation and classification of skin cancer in dermoscopy images using SAM-based deep belief networks

SZ Rahman, TR Singasani, KS Shaik - Healthcraft Front, 2023 - researchgate.net
In the field of computer-aided diagnostics, the segmentation and classification of biomedical
images play a pivotal role. This study introduces a novel approach employing a Self …

A Deep Reinforcement Learning-Based RNN Model in a Traffic Control System for 5GEnvisioned Internet of Vehicles.

H Macherla, VR Muvva, KK Lella… - Mathematical …, 2024 - search.ebscohost.com
In metropolitan areas, traffic jams on city streets are a major source of annoyance and
financial losses. Recent advancements in data processing algorithms and the widespread …

Holistic Traffic Control Through Q-Learning and Enhanced Deep Learning for Distributed Co-Inference.

S Palli, G Kotapati, KK Lella… - Journal Européen …, 2024 - search.ebscohost.com
Services for AI tasks have garnered a lot of attention as an integral aspect of intelligent
services in the new era. However, implementing such a system in a stable and distributed …

[PDF][PDF] Racism and hate speech detection using QAHA based hybrid deep learning model: LSTM-CNN

PK Jayapal, KRD Ramachandraiah… - Healthcraft Front, 2023 - library.acadlore.com
Twitter, a predominant platform for instantaneous communication and idea dissemination, is
often exploited by cybercriminals for victim harassment through sexism, racism, hate speech …

Designing a Smart IoT Environment by Predicting Chronic Kidney Disease Using Kernel Based Xception Deep Learning Model.

S Joteppa, SK Balraj, N Cheruku… - Revue d' …, 2024 - search.ebscohost.com
Abstract Chronic Kidney Disease (CKD) is often asymptomatic in its early stages, and
patients may not experience noticeable symptoms until the disease has significantly …

[PDF][PDF] Racism and hate speech detection on Twitter: A QAHA-based hybrid deep learning approach using LSTM-CNN

PK Jayapal, KRD Ramachandraiah… - Int J. Knowl. Innov …, 2023 - library.acadlore.com
Twitter, a predominant platform for instantaneous communication and idea dissemination, is
often exploited by cybercriminals for victim harassment through sexism, racism, hate speech …

[PDF][PDF] Innovative Mathematical Framework-based Brain Tumor Detection System

A Shukla, A Mahalakshmi, DARM Alampally Sreedevi… - researchgate.net
The current study presents an original system for brain tumor detection based on the
mathematical framework approach regarding the application of essential algorithms for the …