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    • Novel combinatory method for surface and crystallinity analysis of crystalline materials 

      Matkivskyi, Vladyslav; Røyset, Arne Karstein; Stokkan, Gaute; Tetlie, Pål; Sabatino, Marisa Di; Tranell, Maria Gabriella (Journal article; Peer reviewed, 2023)

    • Novel computational analysis of large transcriptome datasets identifies sets of genes distinguishing chronic obstructive pulmonary disease from healthy lung samples 

      Roessler, Fabienne K.; Benedikter, Birke J.; Schmeck, Bernd; Bar, Nadav (Peer reviewed; Journal article, 2021)
      Chronic obstructive pulmonary disease (COPD) kills over three million people worldwide every year. Despite its high global impact, the knowledge about the underlying molecular mechanisms is still limited. In this study, ...

    • A novel cost-effective silica membrane-based process for helium extraction from natural gas 

      Hamedi, Homa; Karimi, Iftekhar A; Gundersen, Truls (Peer reviewed; Journal article, 2019)
      Natural gas reserves with 0.3–2 mol% helium are considered as the only viable source for this noble gas. Currently, cryogenic separation is used to extract helium, but it is energy-intensive. While membrane-based separation ...

    • A Novel Data-Driven Prediction Framework for Ship Navigation Accidents in the Arctic Region 

      Yang, Xue; Zhing, Jingkai; Zhang, Wenjun; Xu, Sheng; Meng, Xiangkun (Peer reviewed; Journal article, 2023)
      Arctic navigation faces numerous challenges, including uncertain ice conditions, rapid weather changes, limited communication capabilities, and lack of search and rescue infrastructure, all of which increase the risks ...

    • A novel decision support system for managing predictive maintenance strategies based on machine learning approaches 

      Arena, Simone; Florian, Eleonora; Zennaro, Ilenia; Orru', Pierfrancesco; Sgarbossa, Fabio (Journal article; Peer reviewed, 2022)
      Nowadays, the industrial environment is characterised by growing competitiveness, short response times, cost reduction and reliability of production to meet customer needs. Thus, the new industrial paradigm of Industry 4.0 ...

    • A Novel Densely Connected Convolutional Neural Network for Sea State Estimation Using Ship Motion Data 

      Cheng, Xu; Li, Guoyuan; Ellefsen, Andre; Chen, Shengyong; Hildre, Hans Petter; Zhang, Houxiang (Peer reviewed; Journal article, 2020)
      Sea state estimation is a fundamental problem in the development of autonomous ships. Traditional methods such as wave buoy, satellites, and wave radars are limited by locations, clouds and costs, respectively. Model-based ...

    • A novel design approach for estimation of extreme load responses of a 10-MW floating semi-submersible type floating wind turbine 

      Balakrishna, Rajiv; Gaidai, Oleg; Wang, Fang; Xing, Yihan; Wang, Shuaishuai (Journal article; Peer reviewed, 2022)
      Offshore structures are constructed to withstand extreme wind and wave-induced loads, so studying these extreme loads is vital as it allows offshore structures, e.g., wind turbines, to be designed and operated with minimal ...

    • Novel donation sharing mechanisms under smart energy cyber-physical-social system and DLT to contend the energy poverty problem 

      Cali, Umit; Cakir, Ozan (Peer reviewed; Journal article, 2021)
      The objective of this study is to introduce a new use case under smart energy cyber-physical-social system (CPSS) that brings together the competence of distributed ledger technology (DLT) and essence of peer-to-peer local ...

    • A Novel Edge-to-Cloud-as-a-Service (E2CaaS) Model for Building Software Services in Smart Cities 

      Robberechts, Jaro; Sinaeepourfard, Amir; Goethals, Tom; Volckaert, Bruno (Chapter, 2020)
      The main goal of a smart city is to enhance the quality of life of its inhabitants by providing services using Information and Communications Technology (ICT) components in a city. ICT components include not only Internet ...

    • A Novel Ensemble Representation Framework for Sentiment Classification 

      Sun, Mengtao; Hameed, Ibrahim A.; Wang, Hao (Chapter, 2020)
      Text representation has a critical impact on the accuracy of text classifiers which is imperative to be strengthened. On the other hand, the question of how the state-of-the-art embeddings outperform previous approaches ...

    • A novel fault detection and diagnosis approach based on orthogonal autoencoders 

      Cacciarelli, Davide; Kulahci, Murat (Peer reviewed; Journal article, 2022)
      In recent years, there have been studies focusing on the use of different types of autoencoders (AEs) for monitoring complex nonlinear data coming from industrial and chemical processes. However, in many cases the focus ...

    • A novel framework for assessing the smartness and the smart readiness level in highly electrified non-residential buildings: A Norwegian case study 

      Campodonico Avendano, Italo Aldo; Andersen, Kamilla Heimar; Erba, Silvia; Moazami, Amin; Aghaei, Mohammadreza; Najafi, Behzad (Journal article; Peer reviewed, 2024)
      This work presents a new operational framework to measure the smartness and smart readiness of highly electrified buildings. The framework seeks to enhance legacy systems and controls of existing buildings and establish ...

    • Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee 

      Santana, Vinícius V.; Martins, Márcio A. F.; Loureiro, José M.; Ribeiro, Ana M.; Queiroz, Luana P.; Rebello, Carine M.; Rodrigues, Alírio E.; B. R. Nogueira, Idelfonso (Peer reviewed; Journal article, 2023)
      Model-based optimization of simulated moving bed reactors (SMBRs) requires efficient solvers and significant computational power. Over the past years, surrogate models have been considered for such computationally demanding ...

    • Novel genetic loci associated with hippocampal volume 

      Hibar, Derrek; Adams, Hieab H.H.; Jahanshad, Neda; Chauhan, Ganesh; Stein, Jason L.; Hofer, Edith; Renteriá, Miguel E.; Bis, Joshua C.; Arias-Vasquez, Alejandro; Ikram, M. Kamran; Desrivières, Sylvane; Vernooij, Meike W; Abramovic, Lucija; Alhusaini, Saud; Amin, Najaf; Andersson, Micael; Arfanakis, Konstantinos; Aribisala, Benjamin S.; Armstrong, Nicola J.; Athanasiu, Lavinia; Axelsson, Tomas; Beecham, Ashley H.; Beiser, Alexa; Bernard, Manon; Blanton, Susan H.; Bohlken, Marc M.; Boks, Marco P.; Bralten, Janita; Brickman, Adam M.; Carmichael, Owen; Chakravarty, M. Mallar; Chen, Qiang; Ching, Christopher R.K.; Chouraki, Vincent; Cuellar-Partida, Gabriel; Crivello, Fabrice; Den Braber, Anouk; Doan, Nhat Trung; Ehrlich, Stefan; Giddaluru, Sudheer; Goldman, Aaron L; Gottesman, Rebecca F.; Grimm, Oliver; Griswold, Michael E.; Guadalupe, Tulio; Gutman, Boris A.; Hass, Johanna; Haukvik, Unn Kristin H.; Hoehn, David; Holmes, Avram J.; Hoogman, Martine; Janowitz, Deborah; Jia, Tianye; Jørgensen, Kjetil Nordbø; Karbalai, Nazanin; Kasperaviciute, Dalia; Kim, Sungeun; Klein, Marieke; Kraemer, Bernd; Lee, Phil H.; Liewald, David C.M.; Lopez, Lorna M.; Luciano, Michelle; MacAre, Christine; Marquand, André F.; Matarin, Mar; Mather, Karen A.; Mattheisen, Manuel; McKay, David R.; Milaneschi, Yuri; Muñoz Maniega, Susana; Nho, Kwangsik; Nugent, Allison C.; Nyquist, Paul; Loohuis, Loes M. Olde; Oosterlaan, Jaap; Papmeyer, Martina; Pirpamer, Lukas; Pütz, Benno; Ramasamy, Adaikalavan; Richards, Jennifer S.; Risacher, Shannon L.; Roiz-Santiañez, Roberto; Rommelse, Nanda; Ropele, Stefan; Rose, Emma J.; Royle, Natalie A.; Rundek, Tatjana; Sämann, Philipp G.; Saremi, Arvin; Satizabal, Claudia L.; Schmaal, Lianne; Schork, Andrew J.; Shen, Li; Shin, Jean; Shumskaya, Elena; Smith, Albert V.; Sprooten, Emma; Strike, Lachlan T.; Teumer, Alexander; Tordesillas-Gutierrez, Diana; Toro, Roberto; Trabzuni, Daniah; Trompet, Stella; Vaidya, Dhananjay; Van Der Grond, Jeroen; Van Der Lee, Sven J.; Van Der Meer, Dennis; van Donkelaar, Marjolein M.J.; Van Eijk, Kristel R.; Van Erp, Theo G.M.; Van Rooij, Daan; Walton, Esther; Westlye, Lars Tjelta; Whelan, Christopher D.; Windham, Beverly G.; Winkler, Anderson M.; Wittfeld, Katharina; Woldehawariat, Girma; Wolf, Christiane; Wolfers, Thomas; Yanek, Lisa R.; Yang, Jingyun; Zijdenbos, Alex; Zwiers, Marcel P.; Agartz, Ingrid; Almasy, Laura; Ames, David; Amouyel, Philippe; Andreassen, Ole Andreas; Arepalli, Sampath; Assareh, Amelia A.; Barral, Sandra; Bastin, Mark E.; Becker, Diane M.; Becker, James T.; Bennett, David A.; Blangero, John; Van Bokhoven, Hans; Boomsma, Dorret I.; Brodaty, Henry; Brouwer, Rachel M.; Brunner, Han G.; Buckner, Randy L.; Buitelaar, Jan K.; Bulayeva, Kazima B.; Cahn, Wiepke; Calhoun, Vince D.; Cannon, Dara M.; Cavalleri, Gianpiero L.; Cheng, Ching-Yu; Cichon, Sven; Cookson, Mark R.; Corvin, Aiden; Crespo-Facorro, Benedicto; Curran, Joanne E.; Czisch, Michael; Dale, Anders; Davies, Gareth E.; de Craen, Anton J.M.; de Geus, Eco J.C.; De Jager, Philip L.; de Zubicaray, Greig I.; Deary, Ian J.; Debette, Stéphanie; Decarli, Charles; Delanty, Norman; Depondt, Chantal; Destefano, Anita; Dillman, Allissa; Djurovic, Srdjan; Donohoe, Gary; Drevets, Wayne C.; Duggirala, Ravi; Dyer, Thomas D.; Enzinger, Christian; Erk, Susanne; Espeseth, Thomas; Fedko, Iryna O.; Fernandéz, Guillén; Ferrucci, Luigi; Fisher, Simon E.; Fleischman, Debra A.; Ford, Ian; Fornage, Myriam; Foroud, Tatiana M.; Fox, Peter T.; Francks, Clyde; Fukunaga, Masaki; Gibbs, J. Raphael; Glahn, David C.; Gollub, Randy L.; Göring, Harald H.H.; Green, Robert C.; Gruber, Oliver; Gudnason, Vilmundur; Guelfi, Sebastian; Håberg, Asta; Hansell, Narelle K.; Hardy, John; Hartman, Catharina A.; Hashimoto, Ryota; Hegenscheid, Katrin; Heinz, Andreas; Le Hellard, Stephanie; Hernandez, Dena G.; Heslenfeld, Dirk J.; Ho, Beng-Choon; Hoekstra, Pieter J.; Hoffmann, Wolfgang; Hofman, Albert; Holsboer, Florian; Homuth, Georg; Hosten, Norbert; Hottenga, Jouke-Jan; Huentelman, Matthew; Pol, Hilleke E. Hulshoff; Ikeda, Masashi; Jack, Clifford R.; Jenkinson, Mark; Johnson, Robert; Jönsson, Erik Gunnar; Jukema, J. Wouter; Kahn, René S.; Kanai, Ryota; Kloszewska, Iwona; Knopman, David S.; Kochunov, Peter; Kwok, John B.; Lawrie, Stephen M.; Lemaître, Hervé; Liu, Xinmin; Longo, Dan L.; Lopez, Oscar L.; Lovestone, Simon; Martinez, Oliver; Martinot, Jean-Luc; Mattay, Venkata S.; McDonald, Colm; McIntosh, Andrew M.; McMahon, Francis J.; McMahon, Katie L.; Mecocci, Patrizia; Melle, Ingrid; Meyer-Lindenberg, Andreas; Mohnke, Sebastian; Montgomery, Grant W.; Morris, Derek W.; Mosley, Thomas H.; Mühleisen, Thomas W.; Müller-Myhsok, Bertram; Nalls, Michael A.; Nauck, Matthias; Nichols, Thomas E.; Niessen, Wiro J.; Nöthen, Markus M.; Nyberg, Lars; Ohi, Kazutaka; Olvera, Rene L.; Ophoff, Roel A.; Pandolfo, Massimo; Paus, Tomas; Pausova, Zdenka; Penninx, Brenda W.J.H.; Pike, G. Bruce; Potkin, Steven G.; Psaty, Bruce M.; Reppermund, Simone; Rietschel, Marcella; Roffman, Joshua L.; Romanczuk-Seiferth, Nina; Rotter, Jerome I.; Ryten, Mina; Sacco, Ralph L.; Sachdev, Perminder S.; Saykin, Andrew J.; Schmidt, Reinhold; Schmidt, Helena; Schofield, Peter R.; Sigursson, Sigurdur; Simmons, Andrew; Singleton, Andrew; Sisodiya, Sanjay M.; Smith, Colin; Smoller, Jordan W.; Soininen, Hilkka; Steen, Vidar Martin; Stott, David J.; Sussmann, Jessika E; Thalamuthu, Anbupalam; Toga, Arthur W.; Traynor, Bryan J.; Troncoso, Juan; Tsolaki, Magda; Tzourio, Christophe; Uitterlinden, André G.; Hernández, Maria C. Valdés; Van Der Brug, Marcel; Van Der Lugt, Aad; Van Der Wee, Nic J.A.; van Haren, Neeltje E.M.; Van 'T Ent, Dennis; Van Tol, Marie-Jose; Vardarajan, Badri N.; Vellas, Bruno; Veltman, Dick J.; Völzke, Henry; Walter, Henrik; Wardlaw, Joanna M.; Wassink, Thomas H.; Weale, Michael E.; Weinberger, Daniel R.; Weiner, Michael W.; Wen, Wei; Westman, Eric; White, Tonya; Wong, Tien Y.; Wright, Clinton B.; Zielke, Ronald H.; Zonderman, Alan B.; Martin, Nicholas G.; Van Duijn, Cornelia M.; Wright, Margaret J.; Longstreth, William T.; Schumann, Gunter; Grabe, Hans J.; Franke, Barbara; Launer, Lenore J.; Medland, Sarah E.; Seshadri, Sudha; Thompson, Paul M.; Ikram, M. Arfan (Journal article; Peer reviewed, 2017)
      The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several ...

    • Novel genomic islands and a new vanD-subtype in the first sporadic VanD-type vancomycin resistant enterococci in Norway 

      Al-Rubaye, Mushtaq; Janice, Jessin; Bjørnholt, Jørgen Vildershøj; Jakovljev, Aleksandra; Hultström, Maria Elisabeth; Sundsfjord, Arnfinn; Hegstad, Kristin (Peer reviewed; Journal article, 2021)
      Background - Vancomycin-resistant enterococci (VRE) represent several types of transferable vancomycin resistance gene clusters. The vanD type, associated with moderate to high level vancomycin resistance, has only ...

    • A novel gnotobiotic experimental system for Atlantic salmon ( Salmo salar L.) reveals a microbial influence on mucosal barrier function and adipose tissue accumulation during the yolk sac stage 

      Gomez de la Torre Canny, Sol; Nordgård, Catherine Taylor; Mathisen, Amalie johanne Horn; Degré Lorentsen, Eirik; Vadstein, Olav; Bakke, Ingrid (Peer reviewed; Journal article, 2023)
      Gnotobiotic models have had a crucial role in studying the effect that commensal microbiota has on the health of their animal hosts. Despite their physiological and ecological diversity, teleost fishes are still underrepresented ...

    • A novel hybrid analysis and modeling approach applied to aluminum electrolysis process 

      Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan (Peer reviewed; Journal article, 2021)
      Aluminum electrolysis cells are characterized by harsh environments where several measurements have to be done manually. Due to the operational costs related to manual sampling, the sampling rates of these measurements are ...

    • A Novel Hybrid Digestion-Gasification Process Integrated with Membranes for Efficient Conversion of Biomass to Bio-alcohols 

      He, Xuezhong (Peer reviewed; Journal article, 2020)
      There is an urgent need to develop technologies which enable the conversion of biomass into liquid biofuels to fill the gap between limited fossil fuel supplies and increasing worldwide demand. In order to achieve the EU ...

    • A Novel hybrid IDS based on modified NSGAII-ANN and Random Forest 

      Golrang, Anahita; Golrang, Alale; Yildirim Yayilgan, Sule; Elezaj, Ogerta (Peer reviewed; Journal article, 2020)
      Machine-learning techniques have received popularity in the intrusion-detection systems in recent years. Moreover, the quality of datasets plays a crucial role in the development of a proper machine-learning approach. ...

    • A novel hybridized metaheuristic technique in enhancing the diagnosis of cross-sectional dent damaged offshore platform members 

      Punurai, Wonsiri; Azad, Md Samdani; Pholdee, Nantiwat; Bureerat, Sujin; Sinsabvarodom, Chana (Peer reviewed; Journal article, 2019)
      Offshore jacket platforms are widely used for oil and gas extraction as well as transportation in shallow to moderate water depth. Tubular cross‐sectional elements are used to construct offshore platforms. Tubular cross ...