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Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: A comprehensive review and future perspective
The application of artificial neural networks (ANNs) in the treatment of wastewater has
achieved increasing attention, as it enhances the efficiency and sustainability of wastewater …
achieved increasing attention, as it enhances the efficiency and sustainability of wastewater …
[HTML][HTML] Wearable technologies and AI at the far edge for chronic heart failure prevention and management: a systematic review and prospects
Smart wearable devices enable personalized at-home healthcare by unobtrusively
collecting patient health data and facilitating the development of intelligent platforms to …
collecting patient health data and facilitating the development of intelligent platforms to …
Deep learning-based IoT system for remote monitoring and early detection of health issues in real-time
With an aging population and increased chronic diseases, remote health monitoring has
become critical to improving patient care and reducing healthcare costs. The Internet of …
become critical to improving patient care and reducing healthcare costs. The Internet of …
Using transfer learning-based plant disease classification and detection for sustainable agriculture
Subsistence farmers and global food security depend on sufficient food production, which
aligns with the UN's “Zero Hunger,”“Climate Action,” and “Responsible Consumption and …
aligns with the UN's “Zero Hunger,”“Climate Action,” and “Responsible Consumption and …
Heuristic-based image stitching algorithm with automation of parameters for smart solutions
The analysis of two-dimensional images enables the detection of structures, objects and
their further classification. In the Internet of Things, images are data obtained from cameras …
their further classification. In the Internet of Things, images are data obtained from cameras …
Using a novel convolutional neural network for plant pests detection and disease classification
Background Early plant diseases and pests identification reduces social, economic, and
environmental deficiencies entailing toxic chemical utilization on agricultural farms, thus …
environmental deficiencies entailing toxic chemical utilization on agricultural farms, thus …
[HTML][HTML] Cnn and svm-based models for the detection of heart failure using electrocardiogram signals
Heart failure (HF) is a serious condition in which the heart fails to supply the body with
enough oxygen and nutrients to function normally. Early and accurate detection of heart …
enough oxygen and nutrients to function normally. Early and accurate detection of heart …
A Hybrid Generic Framework for Heart Problem diagnosis based on a machine learning paradigm
The early, valid prediction of heart problems would minimize life threats and save lives,
while lack of prediction and false diagnosis can be fatal. Addressing a single dataset alone …
while lack of prediction and false diagnosis can be fatal. Addressing a single dataset alone …
Embedded-machine learning and soft, flexible sensors for wearable devices-viewing from an ai engineer
Sensor technology, whose primary function is to represent the interaction between humans
and the surrounding world, has become a core feature of many electronic products in the …
and the surrounding world, has become a core feature of many electronic products in the …
[HTML][HTML] Addressing the challenges and barriers to the integration of machine learning into clinical practice: An innovative method to hybrid human–machine …
Machine learning (ML) models have proven their potential in acquiring and analyzing large
amounts of data to help solve real-world, complex problems. Their use in healthcare is …
amounts of data to help solve real-world, complex problems. Their use in healthcare is …