Improving Remote Patient Monitoring Systems Using a Fog-Based IoT Platform With Speech Recognition

MJ Baucas, P Spachos - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Due to the recent shortage of resources in the healthcare industry, remote patient monitoring
(RPM) systems arose to establish a convenient alternative for accessing healthcare services …

Simulative study on integrated optical multimode waveguides with guided beams based on the system standardization of elements

ANZ Rashed, K Jahan, AB Mohammad… - Journal of Optical …, 2022 - degruyter.com
This study has outlined simulative study on integrated optical multimode waveguides with
guided beams based on the system standardization of elements. Deflection of a cantilever …

Mach–Zehnder electro-optic modulators chirping management in high speed data communication lightwave systems

ANZ Rashed, GH Babu, SH Ahammad… - Journal of Optical …, 2022 - degruyter.com
Abstract This work demonstrates Mach–Zehnder electro-optic modulators chirping
management in high speed data communication lightwave systems. The link with applied …

Efficient adaptive enhanced adaboost based detection of spinal abnormalities by Machine learning approaches

RVS Lalitha, PK Prasad, TR Reddy, K Kavitha… - … Signal Processing and …, 2023 - Elsevier
Spinal abnormalities are commonly occurring disorders that are caused by injuries,
osteoporosis (benign) and neoplastic infiltration (malignant). Patients with one of the listed …

Advanced model based machine learning technique for early stage prediction of ankylosing spondylitis under timely analysis with featured textures

SH Ahammad, R Jayaraj, S Shibu, V Sujatha… - Multimedia Tools and …, 2024 - Springer
In the medical field, ankylosing spondylitis (AS) is arthritis with symptoms that differs from
person to person and takes a long time to evaluate. For predicting radiographic progression …

Flower Identification and Classification applying CNN through Deep Learning Methodologies

AV Sai, MSV Hitesh, VC Jadala… - 2022 International …, 2022 - ieeexplore.ieee.org
Convolutional neural networks play a significant role in the identification of flora species.
Deep learning methodologies support us in image identification based on properties such …

Various coding techniques under bit sequence generators operation mode effects for upgrading transceiver systems efficiency

AN Zaki Rashed, GH Babu, L Sujaro… - Journal of Optical …, 2022 - degruyter.com
This paper has outlined the simulation study of different operation mode for bit sequence
generators variations effects on the transceiver systems efficiency with Manchester …

[PDF][PDF] A machine learning based sensing and measurement framework for timing of volcanic eruption and categorization of seismic data

VS Maddila, KS Shirish, MVS Ramprasad - ACTA IMEKO, 2022 - pdfs.semanticscholar.org
The circumstances and factors which determine the volcanic explosive ejection are
unknown, and currently, there is no effective way to determine the end of a volcanic …

A Multi Range Morphological Model on Dermoscopy Images with Edge Based Segmentation for Image Quality Enhancement for Skin Lesion Classification

D Rapeti, VD Reddy - Revue d'Intelligence Artificielle, 2023 - search.proquest.com
The most frequent form of cancer around the world is skin cancer. When compared to
unaided visual inspection, Dermoscopy image processing enhances diagnostic accuracy for …

BRLMSESCT: Design of a Bioinspired Reinforcement Learning Model for Side-Effect Analysis of Spinal Cord Tumours

R Mohanty, TV Ramana - 2023 - researchsquare.com
Due to improper postures, and unhealthy lifestyle of millennials, there has been an
exponential increase in spinal cord related diseases. These include Slip Discs, Spine …