Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism

H Chen, J Liu, C Hua, J Feng, B Pang, D Cao, C Li - BMC bioinformatics, 2022 - Springer
Background Via counting the different kinds of white blood cells (WBCs), a good quantitative
description of a person's health status is obtained, thus forming the critical aspects for the …

Autonomous robotic manipulation: real‐time, deep‐learning approach for gras** of unknown objects

MH Sayour, SE Kozhaya, SS Saab - Journal of Robotics, 2022 - Wiley Online Library
Recent advancement in vision‐based robotics and deep‐learning techniques has enabled
the use of intelligent systems in a wider range of applications requiring object manipulation …

Defensive mechanism against DDoS attack based on feature selection and multi-classifier algorithms

A Mishra, N Gupta, BB Gupta - Telecommunication Systems, 2023 - Springer
Distributed denial of service attacks are common and very severe threat to various
computing technology like Cloud, IoT and Blockchain because of the disruption they cause …

A comparison of automated classification techniques for image processing in video internet of things

RS Hawezi, FS Khoshaba, SW Kareem - Computers and Electrical …, 2022 - Elsevier
The counts of various types of white blood cells give vital information for identifying a variety
of ailments utilizing the video internet of things (VIoT). This technique needs to be automated …

Visual speech recognition for kannada language using vgg16 convolutional neural network

S Rudregowda, S Patil Kulkarni, G HL, V Ravi… - Acoustics, 2023 - mdpi.com
Visual speech recognition (VSR) is a method of reading speech by noticing the lip actions of
the narrators. Visual speech significantly depends on the visual features derived from the …

A comparative evaluation of deep learning methods in automated classification of white blood cell images

HA Muhamad, SW Kareem… - 2022 8th International …, 2022 - ieeexplore.ieee.org
The identification and characterization of a patient's blood sample are required for the
diagnosis of blood-related disorders. As a result, the medical implications of automated …

A deep learning method for detecting leukemia in real images

HA Muhamad, SW Kareem… - NeuroQuantology, 2022 - search.proquest.com
The purpose of this paper was to construct a model for detecting and differentiating White
blood cells into five main categories. Distinguish the different types of WBC in a manual …

An evaluation algorithms for classifying leukocytes images

SW Kareem - … Conference “Research & Innovation amid Global …, 2021 - ieeexplore.ieee.org
An extremely significant component of the blood that arranges the immune system
responsible for combating foreign elements is white blood cells (leukocytes). Neutrophils …

Analysis of Modern Computer Vision Models for Blood Cell Classification

A Kim, R Kim - arxiv preprint arxiv:2407.00759, 2024 - arxiv.org
The accurate classification of white blood cells and related blood components is crucial for
medical diagnoses. While traditional manual examinations and automated hematology …

Lean six sigma and design of experiments: an empirical case study from the dairy industry

J Nader - 2022 Interdisciplinary Research in Technology and …, 2022 - ieeexplore.ieee.org
In today's highly competitive business environments, fast-paced, flexible and dynamic
strategies are adopted to preserve sustainability that remains the center of attention of all …