Browsing NTNU Open by Author "Hameed, Ibrahim A."
Now showing items 1-20 of 39
-
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. ... -
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 ... -
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 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 No one can repudiate its applications in a number of domains, such as forensic analysis, historical documents, and ...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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience
Bin Ahmed, Saad; Hameed, Ibrahim A.; Naz, Saeeda; Imran Razzak, Muhammad; Yusof, Rubiyah (Journal article; Peer reviewed, 2019)The similar nature of patterns may enhance the learning if the experience they attained during training is utilized to achieve maximum accuracy. This paper presents a novel way to exploit the transfer learning experience ... -
Fine-Grained Sentiment Analysis for Measuring Customer Satisfaction Using an Extended Set of Fuzzy Linguistic Hedges
Khattak, Asad; Paracha, Waqas Tariq; Asghar, Muhammad Zubair; Jillani, Nosheen; Younis, Umair; Saddozai, Furqan Khan; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2020)In recent years, the boom in social media sites such as Facebook and Twitter has brought people together for the sharing of opinions, sentiments, emotions, and experiences about products, events, politics, and other topics. ... -
Fundamental Research on Unmanned Aerial Vehicles to Support Precision Agriculture in Oil Palm Plantations
Shamshiri, Redmond Ramin; Hameed, Ibrahim A.; Balasundram, Siva K.; Ahmad, Desa; Weltzien, Cornelia; Yamin, Muhammad (Chapter, 2019)Unmanned aerial vehicles carrying multimodal sensors for precision agriculture (PA) applications face adaptation challenges to satisfy reliability, accuracy, and timeliness. Unlike ground platforms, UAV/drones are subjected ... -
Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency
Gribbestad, Magnus; Hassan, Muhammad Umair; Hameed, Ibrahim A.; Sundli, Kelvin (Peer reviewed; Journal article, 2021)Anomaly detection refers to detecting data points, events, or behaviour that do not comply with expected or normal behaviour. For example, a typical problem related to anomaly detection on an industrial level is having ...