IoT based smart baby monitoring system with emotion recognition using machine learning
Child care is necessary for parents, but nowadays taking care of a child has become a lot
more challenging, especially for working mothers. It has become increasingly difficult for …
more challenging, especially for working mothers. It has become increasingly difficult for …
Pneumonia Classification from Chest X-ray Images Using Pre-Trained Network Architectures
Pneumonia is a serious disease caused by a lung infection that affects young and old
people and approximately cause of 4 million deaths each year. Patients that are facing …
people and approximately cause of 4 million deaths each year. Patients that are facing …
Challenges of Machine Learning for Covid-19 Diagnosis based on Blood Tests
B Myradov - 2022 International Conference on Innovation and …, 2022 - ieeexplore.ieee.org
Machine learning for Covid-19 diagnosis from blood tests is a topical problem. Many studies
of this problem are mainly devoted to comparing various algorithms' efficiency. However, the …
of this problem are mainly devoted to comparing various algorithms' efficiency. However, the …
Detecting iot attacks using multi-layer data through machine learning
Internet of Things (IoT) devices is being used in countless network applications. However,
due to their insecure nature, the wide adoption of these devices has also increased the …
due to their insecure nature, the wide adoption of these devices has also increased the …
Utilizing Artificial Intelligence and IoT Technologies for Enhanced COVID-19 Diagnosis
The rapid spread of COVID-19 and the high mortality toll globally necessitated an immediate
reaction from several industries to provide an early illness forecast. As a result, the Internet …
reaction from several industries to provide an early illness forecast. As a result, the Internet …
Evaluating time influence over performance of machine-learning-based diagnosis: a case study of Covid-19 Pandemic in Brazil
JG Marques, LA Guedes… - International Journal of …, 2022 - mdpi.com
Efficiently recognising severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
symptoms enables a quick and accurate diagnosis to be made, and helps in mitigating the …
symptoms enables a quick and accurate diagnosis to be made, and helps in mitigating the …
Enhancing Pakistan Rice Plant Disease Detection: A Highly Effective Pre-Trained CNN Model
Rice, a crucial global food source, faces numerous challenges impacting its quality and
quantity. Pakistan is a significant rice producer and needs more agricultural technological …
quantity. Pakistan is a significant rice producer and needs more agricultural technological …
Enhancing COVID-19 Diagnosis Accuracy and Transparency with Explainable Artificial Intelligence (XAI) Techniques
S Malik, P Rathee - SN Computer Science, 2024 - Springer
The COVID-19 pandemic has strained global healthcare systems, highlighting the need for
efficient screening tools for timely SARS-CoV-2 detection and management. This research …
efficient screening tools for timely SARS-CoV-2 detection and management. This research …
[PDF][PDF] Performance Analysis for the Diagnosis of COVID-19 Prediction by Mathematical Modeling & Simulation
M Siddiqui, HA Kalwar, MZ Khan… - … Journal of Artificial …, 2023 - researchgate.net
Machine learning is a type of artificial intelligence (AI) method. The system can be conscious
and adaptable to changes in concepts when emphatically programmed for presence based …
and adaptable to changes in concepts when emphatically programmed for presence based …
Makine öğrenimi tabanlı COVID-19 teşhis ve tahmin sistemi: Çeşitli öğrenme algoritmalarının performans analizi ve ilgili hastalıkların sınıflandırılması
AJE Al-Mamoori - 2024 - search.proquest.com
Sanal Zeka ve makine öğreniminin alanları, özellikle geçen birkaç yılda çeşitli
endüstrilerden önemli ilgi ve yatırım çekmiştir. COVID-19'un son zamanlarda keşfi, sağlık …
endüstrilerden önemli ilgi ve yatırım çekmiştir. COVID-19'un son zamanlarda keşfi, sağlık …