Blar i NTNU Open på forfatter "Hameed, Ibrahim A."
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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 ... -
An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
Alam, Talha Mahboob; Shaukat, Kamran; Khan, Waseem Ahmad; Hameed, Ibrahim A.; Almuqren, Latifah Abd.; Raza, Muhammad Ahsan; Aslam, Memoona; Luo, Suhuai (Peer reviewed; Journal article, 2022)Efficient skin cancer detection using images is a challenging task in the healthcare domain. In today’s medical practices, skin cancer detection is a time-consuming procedure that may lead to a patient’s death in later ... -
Efficient Trajectory Clustering with Road Network Constraints Based on Spatiotemporal Buffering
Hussain, Syed Adil; Hassan, Muhammad Umair; Nasar, Wajeeha; Ghorashi, Sara; Jamjoom, Mona M.; Abdel-Aty, Abdel-Haleem; Parveen, Amna; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2023)The analysis of individuals’ movement behaviors is an important area of research in geographic information sciences, with broad applications in smart mobility and transportation systems. Recent advances in information and ... -
Enhanced concept-level sentiment analysis system with expanded ontological relations for efficient classification of user reviews
Khattak, Asad; Asghar, Muhammad Zubair; Ishaq, Zain; Bangyal, Waqas Haider; Hameed, Ibrahim A. (Journal article; Peer reviewed, 2021) -
Enhancing Photovoltaic Efficiency with the Optimized Steepest Gradient Method and Serial Multi-Cellular Converters
Fekik, Arezki; Azar, Ahamad Taher; Hameed, Ibrahim A.; Hamida, Mohamed Lamine; Amara, Karima; Denoun, Hakim; Kamal, Nashwa Ahmad (Peer reviewed; Journal article, 2023)Many methods have been developed to aid in achieving the maximum power point (MPP) generated by PV fields in order to improve photovoltaic (PV) production. The optimized steepest gradient technique (OSGM), which is used ...