Optimal deep belief network with opposition based pity beetle algorithm for lung cancer classification: A DBNOPBA approach

MMMA Priya, SJ Jawhar, JM Geisa - Computer Methods and Programs in …, 2021 - Elsevier
Abstract Background and Objective This research proposes a successful method of
extracting Gray-Level Co-occurrence Matrix (GLCM) picture handling models to classify low …

Precision local positioning mechanism in underground mining using IoT-enabled WiFi platform

AG Mohapatra, B Keswani, S Nanda… - … Journal of Computers …, 2020 - Taylor & Francis
ABSTRACT Internet of Things (IoT) connects many physical devices to many individuals
from earth to space. This new concept covers almost all applications such as smart cities …

[PDF][PDF] Web based expert system for diagnosing disease pest on banana plant

G Budiyanto, S Ipnuwati, SA Al Gifari… - … of Engineering & …, 2018 - repository.umy.ac.id
Abstract Development of computer technology inspires the creation of a computer
application Expert System in Diagnosing Web-Based Banana Plant Disease. The purpose of …

Optimal deep belief network with opposition‐based hybrid grasshopper and honeybee optimization algorithm for lung cancer classification: A DBNGHHB approach

LR Chilakala, GN Kishore - International Journal of Imaging …, 2021 - Wiley Online Library
In this manuscript, a new approach using deep belief network (DBN) along opposition‐
based hybrid grasshopper and honey bee optimization algorithm for lung cancer …

A Novel Blunge Calibration Intelligent Feature Classification Model for the Prediction of Hypothyroid Disease

MS Devi, VD Kumar, A Brezulianu, O Geman, M Arif - Sensors, 2023 - mdpi.com
According to the Indian health line report, 12% of the population suffer from abnormal thyroid
functioning. The major challenge in this disease is that the existence of hypothyroid may not …

Review of artificial intelligence applications and algorithms for brain organoid research

J Badai, Q Bu, L Zhang - Interdisciplinary Sciences: Computational Life …, 2020 - Springer
The human brain organoid is a miniature three-dimensional tissue culture that can simulate
the structure and function of the brain in an in vitro culture environment. Although we …

A hybrid atmospheric satellite image-processing method for dust and horizontal visibility detection through feature extraction and machine learning techniques

M Amiri, S Soleimani - Journal of the Indian Society of Remote Sensing, 2022 - Springer
Dust storms cause widespread damage to social health, economy, welfare, and environment
of inhabitants in the affected areas. Although early detection of dust fails to focus on the …

Using Certainty Factor for Symptoms Diagnosis of Thyroid Disorders

E Hariadha, D Nugraha, RR Al Hakim… - … Conference on ICT …, 2022 - ieeexplore.ieee.org
The thyroid is a show that plays a vital role in hormone regulation in the human body. If the
thyroid is impaired, it affects the body's function and results in abnormal body functions …

[HTML][HTML] Mineral prospectivity mapping using knowledge embedding and explainable ensemble learning: A case study of the Keeryin ore concentration in Sichuan …

S Yin, N Li, K Xiao, X Song, J Yin, C Wang - Ore Geology Reviews, 2024 - Elsevier
Abstract GIS-based Mineral Prospectivity Mapping (MPM) has been widely employed,
however, the absence of correlative interpretation between the final prospectivity maps and …

Environmental Cost Control of Manufacturing Enterprises via Machine Learning under Data Warehouse

X Li, C Ma, Y Lv - Sustainability, 2022 - mdpi.com
Environmental cost refers to the cost paid by enterprises to reduce environmental pollution
and resource depletion in production and operation. To help enterprises reduce …