Early fire danger monitoring system in smart cities using optimization-based deep learning techniques with artificial intelligence

PDK Reddy, M Margala, SS Shankar… - Journal of Reliable …, 2024 - Springer
One primary safety concern for smart cities is fire. Traditional techniques are not appropriate
because of their high false alarm rates, delayed characteristics, and susceptibility in …

[PDF][PDF] Image analysis for automatic enumeration of rbc infected with plasmodium parasites-implications for malaria diagnosis

J Somasekar, A Sharma, N Reddy… - Advances in …, 2020 - research-publication.com
Plasmodium parasites can cause human to get malaria. Malaria is a common infectious
disease and a worldwide problem concerning public health, particularly in Africa and south …

AneRBC dataset: a benchmark dataset for computer-aided anemia diagnosis using RBC images

M Shahzad, SH Shirazi, M Yaqoob, Z Khan… - Database, 2024 - academic.oup.com
Visual analysis of peripheral blood smear slides using medical image analysis is required to
diagnose red blood cell (RBC) morphological deformities caused by anemia. The absence …

[PDF][PDF] Klasifikasi Malaria Menggunakan Citra Sel Darah Merah Dengan Algoritma Convolutional Neural Network

A Huda, SY Prayogi, MA Ahmad - J. Inf. Syst, 2022 - academia.edu
Malaria merupakan infeksi penyakit yang ditularkan oleh gigitan nyamuk melalui protozoa
parasit. Deteksi penyakit ini menggunakan pengambilan sampel sel darah merah dengan …

[PDF][PDF] An Intelligent Classification System for Trophozoite Stages in Malaria Species

SNAM Kanafiah, MY Mashor, Z Mohamed… - Intell. Autom. Soft …, 2022 - cdn.techscience.cn
Malaria is categorised as a dangerous disease that can cause fatal in many countries.
Therefore, early detection of malaria is essential to get rapid treatment. The malaria …

Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for …

Q Li, C Ren - Journal of Information Systems Engineering and …, 2024 - jisem-journal.com
Making informed decisions and improving organizational performance are crucial in the
modern, data-driven environment. These processes are significantly shaped by a number of …

[HTML][HTML] Plasmodium falciparum Identification Using Otsu Thresholding Segmentation Method Based on Microscopic Blood Image

N Huda, AY Dewi, A Mahiruna - Scientific Journal of Informatics, 2023 - journal.unnes.ac.id
Purpose: Malaria, particularly the Falciparum strain, is a deadly disease caused by
Plasmodium falciparum. Malaria diagnosis heavily relies on a microscopist's expertise. To …

[HTML][HTML] Blood smear imagery dataset for malaria parasite detection: A case of Tanzania

B Lufyagila, B Mgawe, A Sam - Data in Brief, 2024 - Elsevier
Malaria is a major public health issue in many regions of Africa, including Tanzania. The
Tanzania Malaria National Strategic Plan (2021–2025) emphasizes on high-quality testing …

[PDF][PDF] An analysis on solar photovoltaic technology using IBM SPSS statistics

C Raja, M Ramachandran… - Journal on Electronic and …, 2023 - researchgate.net
Solar photovoltaic technologies direct absorption of sunlight particles solar energy is useful
energy solar photovoltaic technologies like photovoltaics are light photons as electricity as …

Designing a Resilient Microgrid for Disaster-Prone Areas Using Renewable Energy Sources

A Saxena, BK Aishwarya, A Badhoutiya… - … on Trends in …, 2024 - ieeexplore.ieee.org
This research explores the development of a resilient microgrid architecture specifically
tailored for disaster-prone areas, with a primary focus on the integration of renewable …