A literature review of early-stage diabetic retinopathy detection using deep learning and evolutionary computing techniques

S Bhandari, S Pathak, SA Jain - Archives of Computational Methods in …, 2023 - Springer
Soft computing approaches are contributing to various areas of real-world problems. These
techniques are being used in optimization problems, feature selection, classification as well …

[PDF][PDF] RETRACTED ARTICLE: Peripheral Blood Smear Images Classification for Acute Lymphoblastic Leukemia Diagnosis with an Improved Convolutional Neural …

E Özbay, FA Özbay… - Journal of Bionic …, 2023 - researchgate.net
Abstract Acute Lymphoblastic Leukemia (ALL) is one of the most common types of cancer
globally, and the invasive tests used to diagnose it are costly and time-consuming …

[Retracted] Fuzzy Logic System Implementation on the Performance Parameters of Health Data Management Frameworks

S Vyas, S Gupta, D Bhargava… - Journal of Healthcare …, 2022 - Wiley Online Library
The development of wireless sensors and wearable devices has led health care services to
the new paramount. The extensive use of sensors, nodes, and devices in health care …

Interpretable pap-smear image retrieval for cervical cancer detection with rotation invariance mask generation deep hashing

E Özbay, FA Özbay - Computers in Biology and Medicine, 2023 - Elsevier
Cervical cancer is a common disease in women, affecting their lives negatively and often
resulting in death. Pap-smear tests are preferred by doctors as the primary tool in the early …

A novel UAV path planning approach: Heuristic crossing search and rescue optimization algorithm

C Zhang, W Zhou, W Qin, W Tang - Expert Systems with Applications, 2023 - Elsevier
Unmanned aerial vehicle (UAV) path planning plays an important role in the flight process of
an UAV, which needs an effective algorithm to deal with UAV path planning problem. The …

Hybrid Smart Strategies to Predict Amine Thermal Degradation in Industrial CO2 Capture Processes

A Azarpour, S Zendehboudi - ACS omega, 2023 - ACS Publications
CO2 emission reduction is an essential step to achieve the climate change targets. Solvent-
based post-combustion CO2 capture (PCC) processes are efficient to be retrofitted to the …

Metaheuristics based long short term memory optimization for sentiment analysis

MK Suddle, M Bashir - Applied Soft Computing, 2022 - Elsevier
A tremendous amount of opinionated data is being added to online platforms every day.
Social media has become the primary source of collecting user's opinions about products …

An approach to classify white blood cells using convolutional neural network optimized by particle swarm optimization algorithm

K Balasubramanian, NP Ananthamoorthy… - Neural Computing and …, 2022 - Springer
Blood cell count is an important parameter in analysing a person's health condition. White
blood corpuscles (leukocytes) are responsible for deciding the immunity system of a person …

Dove swarm optimization algorithm

MC Su, JH Chen, AM Utami, SC Lin, HH Wei - IEEE Access, 2022 - ieeexplore.ieee.org
Popular methods to deal with computation become strenuous due to the optimization
demands that develop more complex nowadays. This research aims to propose a new …

A novel seepage behavior prediction and lag process identification method for concrete dams using HGWO-XGBoost model

K Zhang, C Gu, Y Zhu, S Chen, B Dai, Y Li… - IEEE Access, 2021 - ieeexplore.ieee.org
Seepage monitoring is a vital task in the risk management of concrete dams. Considering
the lag effect of input factors, this paper presents a novel seepage monitoring model for …