Smart Home Automation-Based Hand Gesture Recognition Using Feature Fusion and Recurrent Neural Network

BI Alabdullah, H Ansar, NA Mudawi, A Alazeb… - Sensors, 2023 - mdpi.com
Gestures have been used for nonverbal communication for a long time, but human–
computer interaction (HCI) via gestures is becoming more common in the modern era. To …

[HTML][HTML] Classification of pumpkin disease by using a hybrid approach

YA Bezabh, BM Abuhayi, AM Ayalew… - Smart Agricultural …, 2024 - Elsevier
Agricultural products are crucial for the long-term sustainability of developing economies.
Agriculture is a vital sector for most developing countries, including Ethiopia. The pumpkin …

[Retracted] Signal‐to‐Noise Ratio Comparison of Several Filters against Phantom Image

MH Siddiqi, Y Alhwaiti - Journal of Healthcare Engineering, 2022 - Wiley Online Library
Image denoising methods are important in order to diminish various kinds of noises, which
are presented either capturing the image or distorted during image transmission. Signal‐to …

Deep fake detection using a sparse auto encoder with a graph capsule dual graph CNN

V Kandasamy, Š Hubálovský, P Trojovský - PeerJ Computer Science, 2022 - peerj.com
Deepfake (DF) is a kind of forged image or video that is developed to spread misinformation
and facilitate vulnerabilities to privacy hacking and truth masking with advanced …

Pre-Processing Algorithms for Accurate Analysis of an Image: A Review

Y Satuluri, KVR Prabha, JS Polavarapu… - … on Smart Systems …, 2023 - ieeexplore.ieee.org
Real-world databases nowadays are particularly vulnerable to noisy, missing and
inconsistent data due to their large size (often several terabytes or so more), as well as the …

Design of RAMF for Impulsive Noise Cancelation from Chest X-Ray Image

JBA Das, A Sarangi, D Mishra, MN Mohanty - Advances in Intelligent …, 2022 - Springer
Denoising of medical images is an important pre-processing step for analysis, diagnosis,
and treatment of various diseases. Images are normally affected by impulse noise when …

A Family of Developed Hybrid Four-Term Conjugate Gradient Algorithms for Unconstrained Optimization with Applications in Image Restoration

E Ali, S Mahdi - Symmetry, 2023 - mdpi.com
The most important advantage of conjugate gradient methods (CGs) is that these methods
have low memory requirements and convergence speed. This paper contains two main …

Hybrid speckle de-noising filters for ultrasound images

K Sikhakhane, S Rimer, M Gololo… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Ultrasound imaging uses reflected echo signals from high-frequency sound waves
transmitted into a body with high water content to create images of the internal soft tissue …

Detecting Breast Cancer in X-RAY images using image segmentation algorithm and neural networks

RT Gdeeb - Informatica, 2023 - informatica.si
Breast cancer becomes is a nightmare threating woman all over the world, so, all the studies
are trying for early detection of it to increase healing of it, it can save 30 percent from infected …

Probability Mass Function Based Adaptive Median Filtering for Acoustic Radiation Force Impulse Imaging: A Feasibility Study

GY Lee, GL Ra, GS Kim, HH Moon, JS Jeong - IEEE Access, 2023 - ieeexplore.ieee.org
Among ultrasound images, the acoustic radiation force impulse (ARFI) image can provide
information about the stiffness of the tissue using both a pushing beam and a detection …