18 citations · 53 across the 9 of their papers we have counts for
11 papers
Approximate Attention Weighting for Sustainable FPGA-Based Vision Transformer Inference
Muhammad Usman, Muhammad Akmal Shafique, Shujaat Khan +1
Vision Transformers have reshaped computer vision by using self-attention to capture global context across image regions. This makes them attractive for edge visual inspection and…
Dynamic Ultrasound Beamforming Using Left-to-Right Arithmetic Adders on FPGA
Muhammad Usman, Shujaat Khan, Dorit Merhof
Adder trees are the computational backbone of delay-and-sum (DAS) ultrasound beamforming, where their implementation directly determines the energy, throughput, and area of a real-…
q-RBFNN:A Quantum Calculus-based RBF Neural Network
Syed Saiq Hussain, Muhammad Usman, Taha Hasan Masood Siddique +3
In this research a novel stochastic gradient descent based learning approach for the radial basis function neural networks (RBFNN) is proposed. The proposed method is based on the…
AFP-SRC: Identification of Antifreeze Proteins Using Sparse Representation Classifier
Shujaat Khan, Muhammad Usman, Abdul Wahab
Species living in the extreme cold environment fight against the harsh conditions using antifreeze proteins (AFPs), that manipulates the freezing mechanism of water in more than on…
Heart Segmentation From MRI Scans Using Convolutional Neural Network
Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Muhammad Usman +2
Heart is one of the vital organs of human body. A minor dysfunction of heart even for a short time interval can be fatal, therefore, efficient monitoring of its physiological state…
AFP-CKSAAP: Prediction of Antifreeze Proteins Using Composition of k-Spaced Amino Acid Pairs with Deep Neural Network
Muhammad Usman, Jeong A Lee
Antifreeze proteins (AFPs) are the sub-set of ice binding proteins indispensable for the species living in extreme cold weather. These proteins bind to the ice crystals, hindering…