User profiles for Hayder Yousif
Animal Scanner: Software for classifying humans, animals, and empty frames in camera trap images
Camera traps are a popular tool to sample animal populations because they are noninvasive,
detect a variety of species, and can record many thousands of animal detections per …
detect a variety of species, and can record many thousands of animal detections per …
Assessment of muscles fatigue based on surface EMG signals using machine learning and statistical approaches: A review
Muscle fatigue is described by the decline in muscle maximum force during contraction. The
fatigue occurs in the nervous or muscle fibre cells. The nerves produce a high-frequency …
fatigue occurs in the nervous or muscle fibre cells. The nerves produce a high-frequency …
Fast human-animal detection from highly cluttered camera-trap images using joint background modeling and deep learning classification
In this paper, we couple effective dynamic background modeling with deep learning
classification to develop a fast and accurate scheme for human-animal detection from highly …
classification to develop a fast and accurate scheme for human-animal detection from highly …
2-anti fuzzy domination in anti fuzzy graphs
HJ Yousif, AA Omran - IOP Conference Series: Materials Science …, 2020 - iopscience.iop.org
The aim of this paper is to study the concepts of the concepts of 2-anti fuzzy dominating (2–AFD)
set and 2-anti fuzzy domination number (2–AF domination number) of an anti-fuzzy …
set and 2-anti fuzzy domination number (2–AF domination number) of an anti-fuzzy …
Fault detection from PV images using hybrid deep learning model
H Yousif, Z Al-Milaji - Solar Energy, 2024 - Elsevier
Monitoring and maintenance of photovoltaic (PV) systems are critical in order to ensure
continuous power generation and prevent operation drops. Manual inspection of high-resolution …
continuous power generation and prevent operation drops. Manual inspection of high-resolution …
Learning local and deep features for efficient cell image classification using random forests
Automatic image classification systems for indirect immunofluorescence (IIF) labeling of
human epithelial (HEp-2) cell specimens are needed to improve the efficient management of …
human epithelial (HEp-2) cell specimens are needed to improve the efficient management of …
Closed fuzzy dominating set in fuzzy graphs
HJ Yousif, AA Omran - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
In this paper, we focus on closed fuzzy domination number of a fuzzy graph GF=(η, ρ) by using
effective edge and is denoted by γ cl (GF) and we obtain some result on this concept, the …
effective edge and is denoted by γ cl (GF) and we obtain some result on this concept, the …
Some Results On The N—Fuzzy Domination in Fuzzy Graphs
HJ Yousif, AA Omran - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The purpose of this work is to introduce a new fuzzy domination parameter in fuzzy graphs
G f=(η, ρ) it is called a (N–fuzzy domination number) denoted by γ N (G f). Some properties …
G f=(η, ρ) it is called a (N–fuzzy domination number) denoted by γ N (G f). Some properties …
Animal species classification using deep neural networks with noise labels
In this paper, we developed a robust learning method for animal classification from camera-trap
images collected in highly cluttered natural scenes and annotated with noisy labels. We …
images collected in highly cluttered natural scenes and annotated with noisy labels. We …
Lightweight Deep Learning Model Optimization for Medical Image Analysis
Z Al‐Milaji, H Yousif - International Journal of Imaging Systems …, 2024 - Wiley Online Library
Medical image labeling requires specialized knowledge; hence, the solution to the challenge
of medical image classification lies in efficiently utilizing the few labeled samples to create …
of medical image classification lies in efficiently utilizing the few labeled samples to create …