Browsing NTNU Open by Author "Hameed, Ibrahim A."
Now showing items 1-20 of 113
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A Multi-View Self-Supervised Approach to Learn Representations of EEG Data for Downstream Prediction Tasks
Hojjati, Amirabbas (Master thesis, 2023)Denne avhandlingen presenterer en selvovervåket dyp læringstilnærming for å lære og trekke ut representasjoner fra langtids-electroencephalogram (EEG) inndata, for å bli brukt i nedstrømsoppgaver som prediksjon av demens, ... -
Adaptive Internal Model Control Based on Parameter Adaptation
Chen, Peng; Zhang, Yunfeng; Wang, Jianhong; Azar, Ahmad Taher; Hameed, Ibrahim A.; Ibraheem, Ibraheem Kasim; Kamal, Nashwa Ahmad; Abdulmajeed, Farah Ayad (Peer reviewed; Journal article, 2022)In actual industrial control, many objects have the characteristics of large lag and time-varying parameters, which makes it difficult for traditional PID control to obtain satisfactory control effects. Therefore, engineers ... -
Advanced Autonomous Drone-based Inspection System for Accurate Paint Loss Detection and Quantification on Ship Hulls
Bieniek, Rafał Karol; Storebø, Gard Huse; Gunapalan, Arunanthi; Nysæther, Henrik Norheim (Bachelor thesis, 2024)I denne oppgaven skal vi vise til utvikligen av et avansert autonomt drone-basert inspeksjonssystem for å identifisere og kvantifisere tap av maling på skipskrog. Tradisjonelle inspeksjonsmetoder, som dykking eller tørrdokke, ... -
Advanced Drone-based Inspection System for Accurate Paint Loss Detection and Quantification on Ship Hulls
Kotyan, Sushanth (Master thesis, 2024)Mikroplast er bittesmå partikler som stammer fra nedbrytning av større plastmaterialer. Nyere studier har påvist tilstedeværelsen av mikroplast i ulike livsformer, fra vannlevende dyr til mennesker. Forskning tyder på at ... -
Advanced Interactive Technologies for Group Functional Training in Eldercare: Design and Development
Shah, Syed Hammad Hussain (Doctoral theses at NTNU;2024:378, Doctoral thesis, 2024)With the growing population of elderly individuals, the critical problems being raised include loss of independence, lack of motivation, physical inactivity, cognitive decline, and social isolation. In this regard, motivation ... -
Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture
R. Shamshiri, Redmond; Kalantari, Fatemeh; Ting, K. C.; Thorp, Kelly R.; Hameed, Ibrahim A.; Weltzien, Cornelia; Ahmad, Desa; Shad, Zahra Mojgan (Journal article; Peer reviewed, 2018)Greenhouse cultivation has evolved from simple covered rows of open-fields crops to highly sophisticated controlled environment agriculture (CEA) facilities that projected the image of plant factories for urban agriculture. ... -
AI and Robotics in the Fight Against COVID-19 Pandemic
Khamis, Alaa; Meng, Jung; Wang, Jin; Azar, Ahmad Taher; Prestes, Edson; Li, Howard; Hameed, Ibrahim A.; Haidegger, Tamás (Chapter, 2022)The outbreak of the novel coronavirus and its disease COVID-19 present an unprecedented challenge for humanity. Artificial Intelligence (AI) and robotics may help fighting COVID-19. Potential applications of AI in this ... -
An IoT-based Smart and Sustainable Waste Management System for a Norwegian Municipality
Nasar, Wajeeha (Master thesis, 2020)A solid waste management system (SWMS) is the backbone of a smart and sustainable city (SSC). The SWMS includes all the factors related to waste such as collection, sorting, transportation, and recycling. The core processes ... -
Applicability of a Digital Road Network Model Created with OpenStreetMap Data
Cubedo, Antonio Johansen (Master thesis, 2019)Simuleringer av verdensekte analogier er nyttig når en undersøker og forsker på et systems oppførsel under belastning, eller når justeringer av de innebærende faktorene i det verdensekte systemet ikke lar seg gjøre ... -
Application of Artifical Intelligence and Data Science Methods in Oil and Gas Reservoir Simulation
Dwivedi, Saumitra (Master thesis, 2020)Olje- og gassindustrien arbeider med noen av de mest komplekse og utfordrende industrielle prosessene på tvers av flere ingeniørdomener. Slike industrielle prosesser krever vanligvis presisjon for å redusere størrelse og ... -
Application of Artificial Intelligence and Data Science Methods in Oil and Gas Reservoir Simulation
Dwivedi, Saumitra (Master thesis, 2020)The oil and gas industry works with a few of the most complex and challenging industrial processes across several domains of engineering. Such industrial processes usually require precision, in order to suppress the outcome ... -
Applying Deep Learning Technique for Depression Classification in Social Media Text
Ahmad, Hussain; Asgha, Muhammad Zubair; Alotaibi, Fahad M.; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2020)In social media, depression identification could be regarded as a complex task because of the complicated nature associated with mental disorders. In recent times, there has been an evolution in this research area with ... -
Automatic Face Anonymization in Videos Data Based on YOLOv7
Saharkhizan, Mahdis (Master thesis, 2023)Med den utbredte tilgjengeligheten av digital visuell data på tvers av ulike bransjer, som videoovervåking, sosiale nettverk og media, har bekymringene knyttet til personvern økt betydelig. Ansiktsanonymiseringsteknikker ... -
Automatic Visual Features for Writer Identification: A Deep Learning Approach
Rehman, Arshia; Naz, Saeeda; Razzak, Muhammad Imran; Hameed, Ibrahim A. (Journal article; Peer reviewed, 2019)Identification of a person from his writing is one of the challenging problems; however, it is not new. No one can repudiate its applications in a number of domains, such as forensic analysis, historical documents, and ... -
A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure
Nasir, Adeel; Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai; Mahboob, Talha; Iqbal, Farhat (Peer reviewed; Journal article, 2020)Corona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries socially and economically, the purpose of this bibliometric analysis ... -
Bifurcation Analysis, Synchronization and FPGA Implementation of a New 3-D Jerk System with a Stable Equilibrium
Vaidyanathan, Sundarapandian; Azar, Ahmad Taher; Hameed, Ibrahim A.; Benkouider, Khaled; Tlelo-Cuautle, Esteban; Ovilla-Martinez, Brisbane; Lien, Chang-Hua; Sambas, Aceng (Peer reviewed; Journal article, 2023)This research paper addresses the modelling of a new 3-D chaotic jerk system with a stable equilibrium. Such chaotic systems are known to exhibit hidden attractors. After the modelling of the new jerk system, a detailed ... -
Cloud-based Smart IoT Sustainable Solution for Waste Sorting and Management
Hojjati, Amirabbas; Nasar, Wajeeha; Mishra, Deepti; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A. (Chapter, 2022)A neat and clean surrounding is the main driving force for any city to be called a smart city. By 2050, it is expected that 66% of the world population will live in cities. The growing volumes of wastes are largely caused ... -
A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data
Khushi, Matloob; Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Uddin, Shahadat; Luo, Suhuai; Yang, Xiaoyan; Reyes, Maranatha Consuelo (Peer reviewed; Journal article, 2021)Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning algorithms. This study uses two ... -
Comparative predictive modelling of the occurrence of faecal indicator bacteria in a drinking water source in Norway
Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak (Journal article; Peer reviewed, 2018)Presently, concentrations of fecal indicator bacteria (FIB) in raw water sources are not known before water undergoes treatment, since analysis takes approximately 24 h to produce results. Using data on water quality and ... -
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 ...