• 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 ...

• 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, ...

• Soil Erosion Rate Prediction using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Geographic Information System (GIS) of Wadi Sahel-Soummam Watershed (Algeria) 

  Djeddou, Messaoud; Hameed, Ibrahim A.; Mokhtari, Elhadj (Peer reviewed; Journal article, 2019)

  Accurate prediction of soil erosion rate is a quite important issue for a wise and sustainable use of soil resources. In this study, an adaptive neuro-fuzzy inference system (ANFIS) approach is used to construct a prediction ...

• 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 ...

• On performance analysis of protective jamming schemes in wireless sensor networks 

  Li, Xuran; Dai, Hong-Ning; Wang, Hao; Xiao, Hong (Peer reviewed; Journal article, 2016)

  Wireless sensor networks (WSNs) play an important role in Cyber Physical Social Sensing (CPSS) systems. An eavesdropping attack is one of the most serious threats to WSNs since it is a prerequisite for other malicious ...

• DugnadPlanlegger 

  Alexander Enge (Bachelor thesis, 2019)

  Dugnader er ofte en viktig aktivitet i mange sin hverdag. Systemet har et ønske om å gjøre det lettere for både store og små arrangører å planlegge og organisere en dugnad. Applikasjonen er utviklet for dugnader, men kan ...

• Visual error detection on 3D printing 

  Tomas Paulsen (Bachelor thesis, 2019)

  3D-skriving har blitt meir tilgjengeleg for forbrukarar på grunn av auke av rimelege FDMskrivarar i marknaden. Prosessen med 3D-skriving er ikkje nødvendigvis utan feil. Dei fleste av forbrukarskrivarane har ikkje nokon ...

• a simulation model for power management in hybrid ships 

  Sorte, Nora (Bachelor thesis, 2020)

  Målet for dette prosjektet var å lage en grunnleggende Simulink modell som kan brukes til å simulere kraftproduksjonen i et skip som har både batterier og dieselelektriske generatorer. Jeg begynte med å lage en veldig ...

• Coverage Path Planning for Seabed Mapping using Autonomous Surface Vehicles 

  Karl Eirik Aasen (Master thesis, 2019)

  The topic in this thesis is about path-planning for seabed mapping utilizing an autonomous surface vehicle with a sonar. In order for the path to be considered efficient, the depth and the characteristics of the sonar needs ...

• PRIMASS visits Hilda and Cybele groups 

  De Prá, Mario N.; Pinilla-Alonso, Noemi; Carvano, Jorge M.; Licandro, Javier; Campins, Humberto; Mothe-Diniz, Thais; de Leon, Julia; Alí-Lagoa, V. (Peer reviewed; Journal article, 2018)

  The Cybele and Hilda dynamical groups delimit the outer edge of the asteroid belt. Their compositional distribution is a key element to constrain evolutionary models of the Solar System. In this paper, we present a ...

• 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 ...

• 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 ...

• EVOCROS: Results for OAEI 2019 

  Destro, Juliana Medeiros; Vargas, Javier A; dos Reis, Julio Cesar; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2019)

  This paper describes the updates in EVOCROS, a crosslingual ontology alignment system suited to create mappings between ontologies described in different natural language. Our tool combines syntactic and semantic similarity ...

• Ontology changes-driven semantic refinement of cross-language biomedical ontology alignments 

  Destro, Juliana Medeiros; dos Reis, Julio Cesar; Torres, Ricardo Da Silva; Ricarte, Ivan (Peer reviewed; Journal article, 2019)

  Biomedical computational systems benefits from the use of ontologies. However, interconnectivity between these systems is a challenge, specially when the ontologies supporting each system are described in different natural ...

• Fast-FineCut: Grain boundary detection in microscopic images considering 3D information 

  Ma, Boyuan; Ban, Xiaojuan; Su, Ya; Liu, Chuni; Wang, Hao; Xue, Weihua; Zhi, Yonghong; Wu, Di (Peer reviewed; Journal article, 2018)

  The inner structure of a material is called its microstructure. It stores the genesis of a material and determines all the physical and chemical properties. However, the microstructure is highly complex and numerous image ...

• A fast algorithm for material image sequential stitching 

  Ma, Boyuan; Ban, Xiaojuan; Huang, Haiyou; Liu, Wanbo; Liu, Chuni; Wu, Di; Zhi, Yonghong (Peer reviewed; Journal article, 2019)

  In material research, it is often highly desirable to observe images of whole microscopic sections with high resolution. So that micrograph stitching is an important technology to produce a panorama or larger image by ...

• Data Version Control for Relational Databases: Small and Start-up Business Perspective 

  Strazdins, Girts (Peer reviewed; Journal article, 2016)

  Data-related businesses is an emerging trend in the recent decade. However, the availability and amount of information make it difficult to ensure quality in terms of data fusion and version control. Completely automated ...

• Segmentation of MR Images Using CNN 

  Pettersen, Martin (Master thesis, 2019)

  Anvendbarheten av digital segmentering av kroppsdeler er en økende trend, og det å ha en digital tvilling av skadede legemer, eller en planlagt operasjon kan bedre forståelsen av den kroppsdelen bedre, og forberede partene ...

• Learning cost function for graph classification with open-set methods 

  Werneck, Rafael de Oliveira; Raveaux, Romain; Tabbone, Salvatore; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2019)

  In several pattern recognition problems, effective graph matching is of paramount importance. In this paper, we introduce a novel framework to learn discriminative cost functions. These cost functions are embedded into a ...

• On Modeling Eavesdropping Attacs in Underwater Acoustic Sensor Networks 

  Wang, Qiu; Dai, Hong-Ning; Li, Xuran; Wang, Hao; Xiao, Hong (Journal article; Peer reviewed, 2016)

  The security and privacy of underwater acoustic sensor networks has received extensive attention recently due to the proliferation of underwater activities. This paper proposes an analytical model to investigate the ...

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