17 citations · 22 across the 10 of their papers we have counts for
10 papers
Novel quantum circuit for image compression utilizing modified Toffoli gate and quantized transformed coefficient alongside a novel reset gate
Ershadul Haque, Manoranjan Paul
Quantum image computing has emerged as a groundbreaking field, revolutionizing how we store and process data at speeds incomparable to classical methods. Nevertheless, as image siz…
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…
Predicting Heart Failure with Attention Learning Techniques Utilizing Cardiovascular Data
Ershadul Haque, Manoranjan Paul, Faranak Tohidi
Cardiovascular diseases (CVDs) encompass a group of disorders affecting the heart and blood vessels, including conditions such as coronary artery disease, heart failure, stroke, an…
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…
Energy and Time Based Topology Control Approach to Enhance the Lifetime of WSN in an economic zone
Tanvir Hossain, Md. Ershadul Haque, Abdullah Al Mamun +2
An economic zone requires continuous monitoring and controlling by an autonomous surveillance system for heightening its production competency and security. Wireless sensor network…
Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach
Md Ershadul Haque, Salah Uddin, Md Ariful Islam +3
The combination of big data and deep learning is a world-shattering technology that can greatly impact any objective if used properly. With the availability of a large volume of he…
Rice Leaf Disease Classification and Detection Using YOLOv5
Md Ershadul Haque, Ashikur Rahman, Iftekhar Junaeid +2
A staple food in more than a hundred nations worldwide is rice (Oryza sativa). The cultivation of rice is vital to global economic growth. However, the main issue facing the agricu…
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…