Pinned Repositories
A-Determination-of-Effective-Word-Embedding-of-Bengali-Language-using-text-classification
Different target Natural Language Processing (NLP) tasks demand for pretrained semantic embedding of words also having syntactic considerations. In general, these tasks are Part of Speech (PoS) tagging, Opinion Mining, Named Entity Recognition, Textual Entailment, Semantic Role Tagging, Conference Resolution etc.
Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-Approaches
Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scan, Spying and Wrong Setup are such attacks and anomalies which can cause an IoT system failure. In this paper, performances of several machine learning models have been compared to predict attacks and anomalies on the IoT systems accurately. The machine learning (ML) algorithms that have been used here are Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN). The evaluation metrics used in the comparison of performance are accuracy, precision, recall, f1 score, and area under the Receiver Operating Characteristic Curve. The system obtained 99.4% test accuracy for Decision Tree, Random Forest, and ANN. Though these techniques have the same accuracy, other metrics prove that Random Forest performs comparatively better.
Comparisonal-study-on-Deep-Learning-approaches-on-Retinal-OCT-Image-Analysis
This research is based on analysis of retinal image using deep learning algorithms.
Histopathology-Dashboard
Dashboard which visualizes Neural Networks internal layers analysis.
InfoTracker
This software track the rss feed of several websites and show the title, description and link
Opinion_Mining
Opinion_Mining_on_Bengali_Dataset
PhotoGalleryDatabase
This Project is simple oracle sql database project on PhotoGallery
Pix2Pix_IHC
Shauqi.github.io
SS-cVAE
Code Repository for Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
Shauqi's Repositories
Shauqi/Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-Approaches
Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scan, Spying and Wrong Setup are such attacks and anomalies which can cause an IoT system failure. In this paper, performances of several machine learning models have been compared to predict attacks and anomalies on the IoT systems accurately. The machine learning (ML) algorithms that have been used here are Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN). The evaluation metrics used in the comparison of performance are accuracy, precision, recall, f1 score, and area under the Receiver Operating Characteristic Curve. The system obtained 99.4% test accuracy for Decision Tree, Random Forest, and ANN. Though these techniques have the same accuracy, other metrics prove that Random Forest performs comparatively better.
Shauqi/SS-cVAE
Code Repository for Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
Shauqi/Comparisonal-study-on-Deep-Learning-approaches-on-Retinal-OCT-Image-Analysis
This research is based on analysis of retinal image using deep learning algorithms.
Shauqi/InfoTracker
This software track the rss feed of several websites and show the title, description and link
Shauqi/Shauqi.github.io
Shauqi/A-Determination-of-Effective-Word-Embedding-of-Bengali-Language-using-text-classification
Different target Natural Language Processing (NLP) tasks demand for pretrained semantic embedding of words also having syntactic considerations. In general, these tasks are Part of Speech (PoS) tagging, Opinion Mining, Named Entity Recognition, Textual Entailment, Semantic Role Tagging, Conference Resolution etc.
Shauqi/Histopathology-Dashboard
Dashboard which visualizes Neural Networks internal layers analysis.
Shauqi/Pix2Pix_IHC
Shauqi/quip_cancer_segmentation
Shauqi/awesome-deep-learning-papers
The most cited deep learning papers
Shauqi/brca_unet_finegrain_segmentation
Shauqi/CS-20-Tensorflow-for-Deep-Learning-Research
Shauqi/CS-224N
CS224n: Natural Language Processing with Deep Learning (Stanford University)
Shauqi/CSE-434-Web-Programming
Shauqi/Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
Shauqi/detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Shauqi/developerWorks
Shauqi/dlaicourse
Notebooks for learning deep learning
Shauqi/Fundamentals-of-Reinforcement-Learning-University-of-Alberta-
Shauqi/latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
Shauqi/Machine-Learning-Lab
KUET CSE 13
Shauqi/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Shauqi/Modelling_And_Simulation
Shauqi/One_Adress_Code_Generator_With_Flex_and_Bison
Shauqi/PicExBeta
Website on photography
Shauqi/Reinforcement-Learning
Shauqi/ResNeSt
ResNeSt: Split-Attention Networks
Shauqi/SegWithDistMap
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
Shauqi/Templates-for-deep-learning
Shauqi/uncertainty-deep-learning-codes