Related references
Note: Only part of the references are listed.Detecting Natural Hazard-Related Disaster Impacts with Social Media Analytics: The Case of Australian States and Territories
Tan Yigitcanlar et al.
SUSTAINABILITY (2022)
Estimating the number of contributors to a DNA profile using decision trees
Maarten Kruijver et al.
FORENSIC SCIENCE INTERNATIONAL-GENETICS (2021)
Implementation of Convolutional Neural Network to Classification Gender based on Fingerprint
Ahmad Ilham Gustisyaf et al.
International Journal of Modern Education and Computer Science (2021)
DIESEL: A novel deep learning-based tool for SpMV computations and solving sparse linear equation systems
Thaha Mohammed et al.
JOURNAL OF SUPERCOMPUTING (2021)
Iktishaf plus : A Big Data Tool with Automatic Labeling for Road Traffic Social Sensing and Event Detection Using Distributed Machine Learning
Ebtesam Alomari et al.
SENSORS (2021)
iResponse: An AI and IoT-Enabled Framework for Autonomous COVID-19 Pandemic Management
Furgan Alam et al.
SUSTAINABILITY (2021)
A deep translation (GAN) based change detection network for optical and SAR remote sensing images
Xinghua Li et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures
Tan Yigitcanlar et al.
SUSTAINABILITY (2021)
A Method of Information Protection for Collaborative Deep Learning under GAN Model Attack
Xiaodan Yan et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2021)
Real-Time High-Load Infrastructure Transaction Status Output Prediction Using Operational Intelligence and Big Data Technologies
Solomia Fedushko et al.
ELECTRONICS (2020)
A deep learning model to predict RNA-Seq expression of tumours from whole slide images
Benoit Schmauch et al.
NATURE COMMUNICATIONS (2020)
UbiPriSEQ-Deep Reinforcement Learning to Manage Privacy, Security, Energy, and QoS in 5G IoT HetNets
Thaha Mohammed et al.
APPLIED SCIENCES-BASEL (2020)
Performance Analysis of Sparse Matrix-Vector Multiplication (SpMV) on Graphics Processing Units (GPUs)
Sarah AlAhmadi et al.
ELECTRONICS (2020)
A Fog-Augmented Machine Learning based SMS Spam Detection and Classification System
Sahar Bosaeed et al.
2020 FIFTH INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING (FMEC) (2020)
Rapid Transit Systems: Smarter Urban Planning Using Big Data, In-Memory Computing, Deep Learning, and GPUs
Muhammad Aqib et al.
SUSTAINABILITY (2019)
SURAA: A Novel Method and Tool for Loadbalanced and Coalesced SpMV Computations on GPUs
Thaha Muhammed et al.
APPLIED SCIENCES-BASEL (2019)
Automated estimation of the number of contributors in autosomal short tandem repeat profiles using a machine learning approach
Corina C. G. Benschop et al.
FORENSIC SCIENCE INTERNATIONAL-GENETICS (2019)
Sentiment Analysis of Arabic Tweets in Smart Cities: A Review of Saudi Dialect
Shoayee Alotaibi et al.
2019 FOURTH INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING (FMEC) (2019)
A large-scale dataset of single and mixed-source short tandem repeat profiles to inform human identification strategies: PROVEDIt
Lauren E. Alfonse et al.
FORENSIC SCIENCE INTERNATIONAL-GENETICS (2018)
UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities
Thaha Muhammed et al.
IEEE ACCESS (2018)
PACE: Probabilistic Assessment for Contributor Estimation-A machine learning-based assessment of the number of contributors in DNA mixtures
Michael A. Marciano et al.
FORENSIC SCIENCE INTERNATIONAL-GENETICS (2017)
Data Fusion and IoT for Smart Ubiquitous Environments: A Survey
Furqan Alam et al.
IEEE ACCESS (2017)
UTiLearn: A Personalised Ubiquitous Teaching and Learning System for Smart Societies
Rashid Mehmood et al.
IEEE ACCESS (2017)
EuroForMix: An open source software based on a continuous model to evaluate STR DNA profiles from a mixture of contributors with artefacts
Oyvind Bleka et al.
FORENSIC SCIENCE INTERNATIONAL-GENETICS (2016)
NOCIt: A computational method to infer the number of contributors to DNA samples analyzed by STR genotyping
Harish Swaminathan et al.
FORENSIC SCIENCE INTERNATIONAL-GENETICS (2015)
An alternative application of the consensus method to DNA typing interpretation for Low Template-DNA mixtures
Paolo Garofano et al.
FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES (2015)
Interpreting forensic DNA profiling evidence without specifying the number of contributors
Duncan Taylor et al.
FORENSIC SCIENCE INTERNATIONAL-GENETICS (2014)
Machine learning in bioinformatics
Pedro Larranaga et al.
BRIEFINGS IN BIOINFORMATICS (2006)
Estimating the number of contributors to a DNA profile
T Egeland et al.
INTERNATIONAL JOURNAL OF LEGAL MEDICINE (2003)
Share Paper
