Browsing NTNU Open by Author "Hameed, Ibrahim A."
Now showing items 21-40 of 114
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Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply
Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak (Chapter, 2017)Monitoring of Norovirus in drinking water supply is a complicated, rather expensive, process. Norovirus represent a leading cause of acute gastroenteritis in most developed countries. Modeling of general microbial occurrence ... -
A Comprehensive Dataset for Bibliometric Analysis of SARS and Coronavirus Impact on Social Sciences
Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Luo, Suhuai; Li, Jiaming; Aujla, Gagandeep Kaur; Iqbal, Farhat (Peer reviewed; Journal article, 2020)The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published ... -
A Comprehensive Study of HBase Storage Architecture—A Systematic Literature Review
Hassan, Muhammad Umair; Yaqoob, Irfan; Zulfiqar, Sidra; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2021)According to research, generally, 2.5 quintillion bytes of data are produced every day. About 90% of the world’s data has been produced in the last two years alone. The amount of data is increasing immensely. There is a ... -
Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review
Devnath, Liton; Summons, Peter; Luo, Suhuai; Wang, Dadong; Shaukat, Kamran; Hameed, Ibrahim A.; Aljuaid, Hanan (Peer reviewed; Journal article, 2022)Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers’ pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly improve workers’ survival rate. The ... -
A Conceptual Model Of An IOT-Based Smart And Sustainable Solid Waste Management System: A case Study Of A Norwegian Municipality
Nasar, Wajeeha; Karlsen, Anniken Th; Hameed, Ibrahim A. (Chapter, 2020)The core processes of waste management have been changed during the last few decades. Through advanced technologies, sensors, cameras, actuators, IoT controls, data driven and data transfer technologies, the old and ... -
Data Aggregation, Processing and Visualisation
Fagralon, Rune; Sørdal, Tor-Arne; Eidsheim, Henning (Bachelor thesis, 2019)Denne bachelor-oppgaven er skrevet av tre studenter som går automasjonsingeniør-studiet ved NTNU i Ålesund. Prosjektet ble gjennomført i vår-semesteret 2019. Oppgaven ble gitt av Seaonics, som er et selskap som leverer ... -
Data Analysis and Prediction of Turbine Failures Based on Machine Learning and Deep Learning Techniques
Qaiser, Muhammad Talal (Master thesis, 2023)Turbines, the backbone of numerous industries for power generation, assume a critical role in ensuring seamless operations and a continuous power supply to the system. Their uninterrupted working conditions and performance ... -
Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography
Devnath, Liton; Luo, Suhuai; Summons, Peter; Wang, Dadong; Shaukat, Kamran; Hameed, Ibrahim A.; Alrayes, Fatma S. (Peer reviewed; Journal article, 2022)Globally, coal remains one of the natural resources that provide power to the world. Thousands of people are involved in coal collection, processing, and transportation. Particulate coal dust is produced during these ... -
Design and Stability Analysis of Sliding Mode Controller for Non-Holonomic Differential Drive Mobile Robots
Azar, Ahmad Taher; Abed, Azher M.; Abdul-Majeed, Farah Ayad; Hameed, Ibrahim A.; Jawad, Anwar Ja’afar Mohamad; Abdul-Adheem, Wameedh Riyadh; Ibraheem, Ibraheem Kasim; Kamal, Nashwa Ahmad (Peer reviewed; Journal article, 2023)This paper presents a novel extended state observer (ESO) approach for a class of plants with nonlinear dynamics. The proposed observer estimates both the state variables and the total disturbance, which includes both ... -
Detecting Road Surface Distress using Deep Learning
Gustafsson, Eirik Gribbestad; Steinnes, Ole-Martin Hagen; Løken, Sivert (Bachelor thesis, 2019)Ifølge Statistisk Sentralbyrå finnes det totalt sett 54 899 km fylkes- og riksveier som Statens vegvesen er ansvarlig for å vedlikeholde. Dette er en kostbar og tidkrevende oppgave. Hvert år blir kamerabiler sendt ut for ... -
Detecting Small Anatomical Structures in 3D Knee MRI Segmentation by Fully Convolutional Networks
Sun, Mengtao; Lu, Li; Hameed, Ibrahim A.; Skaar Kulseng, Carl Petter; Gjesdal, Kjell-Inge (Journal article; Peer reviewed, 2021) -
Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine
Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak (Peer reviewed; Journal article, 2019)This study presents the development of artificial neural network (ANN) and support vector machine (SVM) classification models for predicting the safety conditions of water in distribution pipes. The study was based on 504 ... -
Development of a Field Robot Platform for Mechanical Weed Control in Greenhouse Cultivation of Cucumber
Heravi, Amid; Ahmad, Desa; Hameed, Ibrahim A.; Shamshiri, Redmond Ramin; Balasundram, Siva K.; Yamin, Muhammad (Chapter, 2019)A prototype robot that moves on a monorail along the greenhouse for weed elimination between cucumber plants was designed and developed. The robot benefits from three arrays of ultrasonic sensors for weed detection and a ... -
Digital Twins for Lighting Analysis: Literature Review, Challenges, and Research Opportunities
Hassan, Muhammad Umair; Angelaki, Stavroula; Alfaro, Claudia Viviana Lopez; Major, Pierre; Styve, Arne; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A.; Besenecker, Ute; Torres, Ricardo da Silva (Chapter, 2022)Light modelling, simulation, and photometric calculations are by now common tasks in the lighting design process. These practices contribute to the definition and comparison of suitable layout arrangements and help predict ... -
Domain Specific Lexicon Generation through Sentiment Analysis
Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai; Javed, Imran; Iqbal, Farhat; Faisal, Amber; Masood, Rabia; Usman, Ayesha; Shaukat, Usman; Hassan, Rosheen; Younas, Aliya; Ali, Shamshair; Adeem, Ghazif (Peer reviewed; Journal article, 2020)Sentiment analysis (SA) is used to extract opinions from a huge amount of data and these opinions are comprised of multiple words. Some words have different semantic meanings in different fields and we call them domain ... -
Drone deep reinforcement learning: A review
Azar, Ahmad Taher; Koubaa, Anis; Ali Mohamed, Nada; Ibrahim, Habiba A.; Ibrahim, Zahra Fathy; Kazim, Muhammad; Ammar, Adel; Benjdira, Bilel; Khamis, Alaa M.; Hameed, Ibrahim A.; Casalino, Gabriella (Peer reviewed; Journal article, 2021)Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and diversified applications. These applications belong to the civilian and the military fields. To name a few; infrastructure inspection, ... -
A Dynamic Three-Bit Image Steganography Algorithm for Medical and e-Healthcare Systems
Siddiqui, Ghazanfar Farooq; Iqbal, Zafar; Saleem, Khalid; Saeed, Zafar; Ahmed, Adeel; Hameed, Ibrahim A.; Khan, Muhammad Fahad (Peer reviewed; Journal article, 2020)Massive advances in internet infrastructure are impacting e-healthcare services compared to conventional means. Therefore, extra care and protection is needed for extremely confidential patient medical records. With this ... -
E-Waste Tracker: A Solution to Monitor E-Waste Recyling Process
Artang, Sara (Master thesis, 2023)Produksjonen av elektronisk avfall (e-avfall) øker i en hastighet som er uten sidestykke på grunn av faktorer som raske teknologiske fremskritt, endrede forbrukerpreferanser, produktets levetid og det økende antallet ... -
Eemds: An effective emergency message dissemination scheme for urban vanets
Ullah, Sami; Abbas, Ghulam; Waqas, Muhammad; Abbas, Ziaul Haq; Tu, Shanshan; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2021)In Vehicular Adhoc Networks (VANETs), disseminating Emergency Messages (EMs) to a maximum number of vehicles with low latency and low packet loss is critical for road safety. However, avoiding the broadcast storm and dealing ... -
An efficient and lightweight multiperson activity recognition framework for robot-assisted healthcare applications
Shah, Syed Hammad Hussain; Karlsen, Anniken Susanne Thoresen; Solberg, Mads; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2024)Aging is inevitably associated with a decline in physical abilities and can pose challenges to the social lives of elderly individuals. In long-term care facilities, group exercise is instrumental for keeping elderly ...