2 citations · 7 across the 10 of their papers we have counts for
10 papers
SWARM-LLM: Collaborative Inference for Edge-based Small Language Models
Mostafa Dahshan, Quazi Mamun, Tanmoy Debnath
Large language models (LLMs) provide strong performance across a wide range of tasks but are typically hosted on centralised cloud infrastructure, incurring significant bandwidth,…
A Sparse-Attention Deep Learning Model Integrating Heterogeneous Multimodal Features for Parkinson's Disease Severity Profiling
Dristi Datta, Tanmoy Debnath, Minh Chau +3
Characterising the heterogeneous presentation of Parkinson's disease (PD) requires integrating biological and clinical markers within a unified predictive framework. While multimod…
PALQA: A Novel Parameterized Position-Aware Lossy Quantum Autoencoder using LSB Control Qubit for Efficient Image Compression
Ershadul Haque, Manoranjan Paul, Faranak Tohidi +2
With the growing interest in quantum computing, quantum image processing technology has become a vital research field due to its versatile applications and ability to outperform cl…
Efficient quantum image representation and compression circuit using zero-discarded state preparation approach
Md Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq +1
Quantum image computing draws a lot of attention due to storing and processing image data faster than classical. With increasing the image size, the number of connections also incr…
Block-wise quantum grayscale image representation and compression scheme using state connection
Md Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq +1
Quantum computing draws huge attention due to its faster computational capability compared to classical computing to represent and compress the classical image data into the quantu…
A novel state connection strategy for quantum computing to represent and compress digital images
Md Ershadul Haque, Manoranjan Paul, Tanmoy Debnath
Quantum image processing draws a lot of attention due to faster data computation and storage compared to classical data processing systems. Converting classical image data into the…
Advance quantum image representation and compression using DCTEFRQI approach
Md Ershadul Haque, Manoranjon Paul, Anwaar Ulhaq +1
In recent year, quantum image processing got a lot of attention in the field of image processing due to opportunity to place huge image data in quantum Hilbert space. Hilbert space…
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features
Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq +5
The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of med…
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul +5
X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19. If true, this hypothesis may have practical value in…
Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves
Manoranjan Paul, Sourabhi Debnath, Tanmoy Debnath +5
Hyperspectral (HS) imaging was successfully employed in the 380 nm to 1000 nm wavelength range to investigate the efficacy of detecting age, healthiness and individual nutrient def…