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20142025
most citedRecognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers

77 citations · 309 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.LG2025★ 5 cited

Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction

Iftekhar Ahmed, Tanzil Ebad Chowdhury, Biggo Bushon Routh +3

Kidneys are the filter of the human body. About 10% of the global population is thought to be affected by Chronic Kidney Disease (CKD), which causes kidney function to decline. To…

cs.LG2020★ 20 cited

Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks

Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Shadman Sakib +3

Temperature and rainfall have a significant impact on economic growth as well as the outbreak of seasonal diseases in a region. In spite of that inadequate studies have been carrie…

cs.LG2020★ 19 cited

Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers

Shadman Sakib, Md. Abu Bakr Siddique, Md. Abdur Rahman

The central goal of this paper is to establish two commonly available dimensionality reduction (DR) methods i.e. t-distributed Stochastic Neighbor Embedding (t-SNE) and Multidimens…

cs.LG2019★ 9 cited

Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers

Md. Abu Bakr Siddique, Shadman Sakib, Md. Abdur Rahman

The central aim of this paper is to implement Deep Autoencoder and Neighborhood Components Analysis (NCA) dimensionality reduction methods in Matlab and to observe the application…

cs.LG2019★ 39 cited

Non-Intrusive Electrical Appliances Monitoring and Classification using K-Nearest Neighbors

Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Shadman Sakib

Non-Intrusive Load Monitoring (NILM) is the method of detecting an individual device's energy signal from an aggregated energy consumption signature [1]. As existing energy meters…