Bengali Emotion Classification Using Hybrid Deep Neural Network

R Haque, MB Islam, BD Parameshachari… - 2023 International …, 2023 - ieeexplore.ieee.org
Emotion classification holds significant importance in various domains. However, the
development of accurate emotion classification models for the Bengali language has been …

Alzheimer Disease Classification Using Deep Neural Network

R Haque, MB Islam, G Chhabra… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Alzheimer's disease is a complex neurodegenerative disorder with profound implications for
individuals and healthcare systems. Early and accurate diagnosis is critical for effective …

Comparative analysis of epileptic seizure prediction: Exploring diverse pre-processing techniques and machine learning models

MSH Talukder, RB Sulaiman… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Precise prediction and detection of epilepsy, a common neurological condition marked by
sporadic and repeated seizures, is necessary for efficient management and patient care. To …

Deep learning-based left ventricular ejection fraction estimation from echocardiographic videos

S Rahman, R Haque, SMMR Swapno… - … Algorithms and Soft …, 2023 - ieeexplore.ieee.org
Heart failure (HF) is a prevalent and life-threatening medical condition afflicting millions of
people worldwide. A critical parameter in assessing cardiac function and detecting HF is the …

Diagnosis of Liver Tumor from CT Scan Images using Deep Segmentation Network with CMBOA based CNN

R Thatikonda, S Kadakadiyavar… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
Accurate segmentation and categorization of liver tumours are crucial for the diagnosis and
management of carcinoma or metastases. The liver tumour presents a challenging problem …

Scheduling the Tasks in Cloud Computing using Adaptive Adjustment in Whale Optimization Algorithm

PK Pareek, GD Nithyashree… - … Conference on Data …, 2024 - ieeexplore.ieee.org
One of the most popular infrastructures for employing virtual machines, also known as
processing units, is cloud computing. Task scheduling is fundamental problems of cloud …

Migrating to Big Data: Contextual Challenges for Data-driven Success

MR Naqvi, SK Shahzad, G Chhabra… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Many database operational and analytical systems are adopting Big Data analytics tools
and techniques to meet the upcoming business challenges. Migration to Hadoop Distributed …

Deep Learning Based Tuberculosis and Pneumonia Disease Detection Using CNN

BR Bappi, SMMR Swapno, G Chhabra… - … on Image Information …, 2023 - ieeexplore.ieee.org
Tuberculosis and pneumonia are debilitating respiratory diseases that pose significant
health challenges around the world. For these disorders to be treated and controlled …

Parasitology Unveiled: Revolutionizing Microorganism Classification Through Deep Learning

MD Hosen, AB Mohiuddin, N Sarker… - … and Information & …, 2024 - ieeexplore.ieee.org
Microorganisms play a crucial role in multiple fields, such as medical diagnostics, food
safety, and ecological research, accounting for a significant 60% of Earth's biomass. This …

Analyzing Musical Characteristics of National Anthems in Relation to Global Indices

SM Hasan, A Dhakal, MA Siddiqua… - arXiv preprint arXiv …, 2024 - arxiv.org
Music plays a huge part in shaping peoples' psychology and behavioral patterns. This paper
investigates the connection between national anthems and different global indices with …