Effectiveness of machine learning in detecting early-stage leukemia
The early identification and diagnosis of leukemia, ie, the exact distinction of malignant
leukocytes at the lowest possible cost in the early stages of the disease, is a key challenge …
leukocytes at the lowest possible cost in the early stages of the disease, is a key challenge …
Machine Learning Approaches for Analysis in Smart Healthcare Informatics
There is scarcely any business that does not profit from increased IT resources and self-
learning computer networks–but in the healthcare sector, AI may be employed in a variety of …
learning computer networks–but in the healthcare sector, AI may be employed in a variety of …
Reducing carbon footprint for sustainable development of smart cities using IoT
P Asopa, P Purohit, RR Nadikattu… - 2021 Third International …, 2021 - ieeexplore.ieee.org
As the population increases, the need for resources increases too which ultimately degrades
the quality of atmosphere that is needed for the survival of human beings. As a result, the …
the quality of atmosphere that is needed for the survival of human beings. As a result, the …
Role of AI and IoT in Intelligent Transportation
The transport industry is being transformed by artificial intelligence (AI). It is now
implemented in various transport areas, from helping vehicles, trains, ships, and airplanes to …
implemented in various transport areas, from helping vehicles, trains, ships, and airplanes to …
Ambient Intelligence health services using IoT
Ambient intelligence refers to the combination of pervasive ubiquitous computing, big data
and artificial frameworks, IoT, sensor networks, and human‐computer interaction (HCI) …
and artificial frameworks, IoT, sensor networks, and human‐computer interaction (HCI) …
A stable pre-processing method for the handwritten recognition system
A Velu - International Journal of Machine Learning for …, 2019 - ijsdcs.com
Pre processing stage in an Optical Character Recognition (OCR) device ought to be
extremely effective versus noise as well as other undesired distortions. A comprehensive …
extremely effective versus noise as well as other undesired distortions. A comprehensive …
Methodology for Calibrating Photocatalytic Sensor Output
Many of the problems associated with conventional Photo Catalytic Processes, such as size,
reaction time, and accuracy, were addressed by Whig and Ahmad's Photo Catalytic Sensor …
reaction time, and accuracy, were addressed by Whig and Ahmad's Photo Catalytic Sensor …
[PDF][PDF] Novel PCS output calibration technique
P Whig - Available at SSRN 3621365, 2020 - researchgate.net
Many issues like large size, poor response time and accuracy which were plaguing the
performance of the conventional Photo Catalytic Processes were overcome by PCS (Photo …
performance of the conventional Photo Catalytic Processes were overcome by PCS (Photo …
[PDF][PDF] Simulation & performance analysis of various R2R D/A converter using various topologies
This paper presents the study of R2R D/A converter using various topologies like CMOS,
Transmission Gates (TG) and OP-AMP. For the sake of simplicity 4 bit input is taken. The …
Transmission Gates (TG) and OP-AMP. For the sake of simplicity 4 bit input is taken. The …
Fog‐IoT Assistance‐Based Smart Agriculture Application
Increased agricultural activity is supposed to be of crucial importance as intelligent
agriculture or precision agriculture. Increased agricultural activity is supposed to be of …
agriculture or precision agriculture. Increased agricultural activity is supposed to be of …