Blar i NTNU Open på forfatter "Hameed, Ibrahim A."
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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 ... -
Adaptive sliding mode control based on maximum power point tracking for boost converter of photovoltaic system under reference voltage optimizer
Torchani, Borhen; Azar, Ahmad Taher; Sellami, Anis; Ahmed, Saim; Hameed, Ibrahim A.; Kasim Ibraheem, Ibraheem; Al-Obaidi, Moamin Ibrahim Jameel (Peer reviewed; Journal article, 2024)This article presents an innovative APISMC method applied to PVS, integrating the MPPT technique for a boost converter. The primary objective of this approach is to maximize the converter’s output power while ensuring ... -
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. ... -
Advancing Digital Twin Creation for Smart Cities: Innovative Approaches in Visual Representation and Simulation
Hassan, Muhammad Umair (Doctoral theses at NTNU;2024:486, Doctoral thesis, 2024)The United Nations (UN) estimates that by 2050, 70% of the world’s population will reside in urban areas. Given the increased demand for services, there is a need to create sustainable, well-managed, and resilient cities. ... -
Advancing Optical Character Recognition for Low-Resource Scripts: A Siamese Meta-Learning Approach with PSN Framework
Ghosh, Anirudha; Barman, Debaditya; Sufian, Abu; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2024)Objectives The aim of the present study was to provide cross-cultural insight into the relationship between mindfulness, alexithymia, and stoic ideology. Method Using samples from New Zealand (n = 330) and Norway ... -
Advancing Robotic Control: Data-Driven Model Predictive Control for a 7-DOF Robotic Manipulator
El-Hussieny, Haitham; Hameed, Ibrahim A.; Megahed, Tamer F.; Fares, Ahmed (Peer reviewed; Journal article, 2024)In this study, we applied deep learning to improve the control of a KUKA LBR4 7 Degrees of Freedom (DOF) robotic arm. We developed a dynamic model using a comprehensive dataset of joint angles and actuator torques obtained ... -
AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model
Sarwar, Raheem; An Ha, Le; Teh, Pin Shen; Sabah, Fahad; Nawaz, Raheel; Hameed, Ibrahim A.; Hassan, Muhammad Umair (Peer reviewed; Journal article, 2024)In this investigation, we propose a solution for the author’s gender identification task called AGI-P. This task has several real-world applications across different fields, such as marketing and advertising, forensic ... -
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 ... -
Analyzing grid connected shaded photovoltaic systems with steady state stability and crow search MPPT control
Ben Smida, Mouna; Azar, Ahmad Taher; Sakly, Anis; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2024)The field of research in maximum power point tracking (MPPT) methods is making significant progress with a wide range of techniques, from simple yet inefficient approaches to more complex but effective ones. Therefore, it ... -
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 ... -
Assessment of wave energy location, technology, and converter toward sustainability using integrated spherical fuzzy MCDM approach
Hezam, Ibrahim M.; Ali, Ahmed M.; Sallam, Karam; Hameed, Ibrahim A.; Abdel-Basset, Mohamed (Peer reviewed; Journal article, 2024)Due to climate change, fossil fuel reduction, growing energy usage, and ecological impacts, the need for renewable energy sources is rising quickly. A large amount of energy comes from the ocean through the tide; renewable ... -
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 ...