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Bridging Modalities: A Multimodal Machine Learning Approach for Parkinson's Disease Diagnosis Using EEG and MRI Data
Parkinson's disease (PD) is a slowly progressing neurological disorder with symptoms that
overlap with those of other conditions, making early detection and accurate diagnosis vital …
overlap with those of other conditions, making early detection and accurate diagnosis vital …
Parkinsons Detection from Gait Time Series Classification Using Modified Metaheuristic Optimized Long Short Term Memory
Neurodegenerative conditions are defined by the progressive deterioration and death of
nerve cells in the core neural system. Most neurodegenerative conditions are not curable …
nerve cells in the core neural system. Most neurodegenerative conditions are not curable …
Enhanced Parkinson's Detection Through Multisyllabic Vowel and Spontaneous Dialogue Analysis Using Graph Convolutional Networks
M Thimmapuram, AR Akepogu - … International Conference on …, 2024 - ieeexplore.ieee.org
Long-term, progressive, and degenerative, Parkinson's disease (PD) disturbs the brain and
spinal cord. Typically, the symptoms gradually manifest, beginning with motor system …
spinal cord. Typically, the symptoms gradually manifest, beginning with motor system …
A Transformer Based Emotion Recognition Model for Social Robots Using Topographical Maps Generated from EEG Signals
Emotions are an integral part of living beings which influence their thoughts, actions, and
interactions with other beings. Understanding human emotions is very important in …
interactions with other beings. Understanding human emotions is very important in …
[PDF][PDF] FMDB Transactions on Sustainable Computer Letters
G Sivapriya, BV Ganesh, UG Pradeeshwar… - 2023 - researchgate.net
Crime is a dangerous and global social issue. Crimes influence a nation's economy,
reputation, and quality of life. Innovative technology and novel approaches to crime analytics …
reputation, and quality of life. Innovative technology and novel approaches to crime analytics …
[PDF][PDF] Open Hole-Wireline Logging to Determine the Characteristics of the Reservoir
M Usama, M Rifan, A Nagarajan, K Bogeswaran - 2023 - researchgate.net
Openhole well logging encompasses a diverse range of measurements, including as
measurement-while-drilling (MWD) logs, standard wireline logs, and mud logs. These …
measurement-while-drilling (MWD) logs, standard wireline logs, and mud logs. These …
Prognosticating Parkinson's: Harnessing Wearable Sensors and Attention Mechanism for Enhanced Motor Symptom Prediction
A Rasool - 2024 - repositories.nust.edu.pk
Parkinson's disease (PD) is a progressive neurological disorder that results in loss of
dopaminergic neurons in brain and has a profound effect in patients, particularly because of …
dopaminergic neurons in brain and has a profound effect in patients, particularly because of …
Transformative Insights: Anticipating Parkinson's Motor Fluctuations with Wearable Sensors and Advanced Deep Learning Models
R Taj - 2024 - repositories.nust.edu.pk
Parkinson's disease is a typical and very invalidating neurogenerative disorder
characterized by specific motor symptoms: bradykinesia, tremor, and dyskinesias. All of …
characterized by specific motor symptoms: bradykinesia, tremor, and dyskinesias. All of …
[PDF][PDF] FMDB Transactions on Sustainable Health Science Letters
The advent of pervasive technologies has revolutionized modern healthcare, offering
unprecedented opportunities for enhancing patient care and streamlining healthcare …
unprecedented opportunities for enhancing patient care and streamlining healthcare …
[PDF][PDF] FMDB Transactions on Sustainable Health Science Letters
RCA Komperla - 2023 - researchgate.net
In the rapidly evolving healthcare landscape, this research delves into the profound
transformation facilitated by connected healthcare solutions in patient care. The …
transformation facilitated by connected healthcare solutions in patient care. The …