• 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 ...
    • 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 No one can repudiate its applications in a number of domains, such as forensic analysis, historical documents, and ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Hybrid Words Representation for Airlines Sentiment Analysis 

      Naseem, Usman; Khan, Shah K.; Razzak, Imran; Hameed, Ibrahim A. (Chapter, 2019)
      Social media sentimental analysis is interesting field with the aim to analyze social conservation and determine deeper context as they apply to a topic or theme. However, it is challenging as tweets are unstructured, ...
    • Modell asynkronmotor 

      Boonkrong, Singharat; Lervik, Håvard; Nordvik, Ola Edvard; Vadset, Tomas Skaar (Bachelor thesis, 2019)
      Formålet med denne oppgaven var å utvikle en modell for en asynkronmotor. Denne modellen skal gjøre det mulig for STADT AS å gjøre simuleringer for motorer, slik at de blant annet kan se hvor store startstrømmene vil bli ...
    • Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity 

      Shaukat, Kamran; Luo, Suhuai; Varadharajan, Vijay; Hameed, Ibrahim A.; Chen, Shan; Liu, Dongxi; Li, Jiaming (Peer reviewed; Journal article, 2020)
      Cyberspace has become an indispensable factor for all areas of the modern world. The world is becoming more and more dependent on the internet for everyday living. The increasing dependency on the internet has also widened ...
    • Prognostics and Health Management for Air Compressors Based on Deep Learning Techniques 

      Gribbestad, Magnus (Master thesis, 2019)
      Typiske vedlikeholdsstrategier på luftkompressorer i dag er avhengig av planlagte vedlikeholdstiltak basert på levetidsstatistikk, eller å reparere noe etter det har feilet. Målet med denne oppgaven er å utforske prediktivt ...
    • Regularized Urdu Speech Recognition with Semi-Supervised Deep Learning 

      Ali Humayun, Mohammad; Hameed, Ibrahim A.; Muslim Shah, Syed; Hassan Khan, Sohaib; Zafar, Irfan; Bin Ahmed, Saad; Shuja, Junaid (Journal article; Peer reviewed, 2019)
      Automatic Speech Recognition, (ASR) has achieved the best results for English, with end-to-end neural network based supervised models. These supervised models need huge amounts of labeled speech data for good generalization, ...
    • Research and development in agricultural robotics: A perspective of digital farming 

      R. Shamshiri, Redmond; Weltzien, Cornelia; Hameed, Ibrahim A.; J. Yule, Ian; E. Grift, Tony; Balasundram, Siva K.; Pitonakova, Lenka; Ahmad, Desa; Chowdhary, Girish (Journal article; Peer reviewed, 2018)
      Digital farming is the practice of modern technologies such as sensors, robotics, and data analysis for shifting from tedious operations to continuously automated processes. This paper reviews some of the latest achievements ...
    • Robotic Harvesting of Fruiting Vegetables: A Simulation Approach in V-REP, ROS and MATLAB 

      Shamshiri, Redmond Ramin; Hameed, Ibrahim A.; Karkee, Manoj; Weltzien, Cornelia (Chapter, 2018)
      In modern agriculture, there is a high demand to move from tedious manual harvesting to a continuously automated operation. This chapter reports on designing a simulation and control platform in V-REP, ROS, and MATLAB for ...
    • Robust H-Infinity Decentralized Control for Industrial Cooperative Robots. 

      Azar, Ahmad Taher; Serrano, Fernando E.; Hameed, Ibrahim A.; Kamal, Nashwa Ahmad; Vaidyanathan, Sundarapandian (Chapter, 2019)
      In this paper, a robust H-infinity controller is proposed for industrial cooperative robots in which disturbances are taken into account for an appropriate controller design. Considering the disturbance affects the system ...