• Gradient Percolation in a Mixed Wetting System 

  Angell, Michelle Louise Grung (Master thesis, 2024)

  Fuktegenskaper er en viktig faktor for å forutsi mønstre for tofasestrømninger i porøse medier. Motivert av en bestemt type blandet fukt i porøse medier konstruerer vi en perkolasjonsmodel basert på et dualt node-bånd ...

• History and presentation of the Cavendish experiment in textbooks in the 20th century 

  Persson, Rolf Jonas (Journal article, 2025)

  The experiment performed by Henry Cavendish to measure the density of the earth, is in numerous textbooks described as a measurement of the universal gravitational constant, G, even if we know that this was not true. In ...

• Thermodynamics of Dissipative Solitons 

  Kalashnikov, Vladimir; Rudenkov, Alexander; Sorokina, Irina T (Chapter, 2024)

• Reaction modelling of hydrogen evolution on nickel phosphide catalysts: density functional investigation 

  Sadan, Syam; Svenum, Ingeborg-Helene; Hanslin, Sander Øglænd; Akola, Jaakko (Peer reviewed; Journal article, 2024)

• Engaging Engineering Students in STS-topics Utilizing Students Perceived Relevance 

  Kjelsberg, Ronny; Thorseth, Trond Morten; Kahrs, Magnus Strøm (Chapter, 2024)

• Hybridizing Artificial Neural Networks Through Feature Selection Based Supervised Weight Initialization and Traditional Machine Learning Algorithms for Improved Colon Cancer Prediction 

  Sajjad Ahmed Nadeem, Malik; Hammad Waseem, Muhammad; Aziz, Wajid; Habib, Usman; Masood, Anum; Attique Khan, Muhammad (Peer reviewed; Journal article, 2024)

  Computer-aided decision support systems (DSSs) are becoming popular in a variety of professions. Notably, medical DSSs assist healthcare professionals (decision makers) choose the optimal course of action (decisions) while ...

• Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization 

  Haider, Irfan; Khan, Muhammad Attique; Nazir, Muhammad; Hamza, Ameer; Alqahtani, Omar; Alouane, M. Turki-Hadj; Masood, Anum (Peer reviewed; Journal article, 2024)

  Globally, pests and plant diseases severely threaten forestry and agriculture. Plant protection could be substantially enhanced by using noncontact, extremely effective, and reasonably priced techniques for identifying and ...

• A novel approach of botnet detection using hybrid deep learning for enhancing security in IoT networks 

  Ali, Shamshair; Ghazal, Rubina; Qadeer, Nauman; Saidani, Oumaima; Alhayan, Fatimah; Masood, Anum; Saleem, Rabia; Khan, Muhammad Attique; Gupta, Deepak (Peer reviewed; Journal article, 2024)

  In an era dominated by the Internet of Things (IoT), protecting interconnected devices from botnets has become essential. This study introduces an innovative hybrid deep learning model that synergizes LSTM Auto Encoders ...

• Real-time two-axis control of a spin qubit 

  Berritta, Fabrizio; Rasmussen, Torbjørn; Krzywda, Jan A.; van der Heijden, Joost; Fedele, Federico; Fallahi, Saeed; Gardner, Geoffrey C.; Manfra, Michael J.; van Nieuwenburg, Evert; Danon, Jeroen; Chatterjee, Anasua; Kuemmeth, Ferdinand (Peer reviewed; Journal article, 2024)

  Optimal control of qubits requires the ability to adapt continuously to their ever-changing environment. We demonstrate a real-time control protocol for a two-electron singlet-triplet qubit with two fluctuating Hamiltonian ...

• Ultrasound-mediated delivery and transport of nanomedicines through the tumor extracellular matrix - effects and possible mechanisms 

  Einen, Caroline (Doctoral theses at NTNU;2025:86, Doctoral thesis, 2025)

  Nanopartikler har virket lovende som medisinbærere i behandling av kreft, en sykdom som fortsatt er en av de ledende dødsårsakene på verdensbasis. Men bruken av nanopartikler har for det meste redusert toksisiteten og ikke ...

• Assessment and classification of COVID-19 DNA sequence using pairwise features concatenation from multi-transformer and deep features with machine learning models 

  Qayyum, Abdul; Benzinou, Abdesslam; Saidani, Oumaima; Alhayan, Fatimah; Khan, Muhammad Attique; Masood, Anum; Mazher, Moona (Peer reviewed; Journal article, 2024)

  The 2019 novel coronavirus (renamed SARS-CoV-2, and generally referred to as the COVID-19 virus) has spread to 184 countries with over 1.5 million confirmed cases. Such a major viral outbreak demands early elucidation of ...

• Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection 

  Yaqoob, Nabeela; Khan, Muhammad Attique; Masood, Saleha; Albarakati, Hussain Mobarak; Hamza, Ameer; Alhayan, Fatimah; Jamel, Leila; Masood, Anum (Peer reviewed; Journal article, 2024)

  Alzheimer's disease (AD) is a neurodegenerative illness that impairs cognition, function, and behavior by causing irreversible damage to multiple brain areas, including the hippocampus. The suffering of the patients and ...

• ALL classification using neural ensemble and memetic deep feature optimization 

  Awais, Muhammad; Ahmad, Riaz; Kausar, Nabeela; Alzahrani, Ahmed Ibrahim; Alalwan, Nasser; Masood, Anum (Peer reviewed; Journal article, 2024)

  Acute lymphoblastic leukemia (ALL) is a fatal blood disorder characterized by the excessive proliferation of immature white blood cells, originating in the bone marrow. An effective prognosis and treatment of ALL calls for ...

• An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization 

  Awais, Muhammad; Abdal, Md. Nazmul; Akram, Tallha; Alasiry, Areej; Marzougui, Mehrez; Masood, Anum (Peer reviewed; Journal article, 2024)

  In the field of medicine, decision support systems play a crucial role by harnessing cutting-edge technology and data analysis to assist doctors in disease diagnosis and treatment. Leukemia is a malignancy that emerges ...

• Detection of Sarcasm in Urdu Tweets Using Deep Learning and Transformer Based Hybrid Approaches 

  Hassan, Muhammad Ehtisham; Hussain, Masroor; Maab, Iffat; Habib, Usman; Khan, Muhammad Attique; Masood, Anum (Peer reviewed; Journal article, 2024)

  Sarcasm has a significant role in human communication especially on social media platforms where users express their sentiments through humor, satire, and criticism. The identification of sarcasm is crucial in comprehending ...

• Ultra high energy cosmic rays The intersection of the Cosmic and Energy Frontiers 

  Coleman, A.; Eser, J.; Mayotte, E.; Sarazin, E.; Schröder, F.G.; Soldin, D.; Venters, T.M.; Aloisio, R.; Alvarez-Muniz, J.; Alves Batista, R.; Bergman, D.; Bertaina, M.; Caccianiga, L.; Deligny, O.; Dembinski, H.P.; Denton, P.B.; di Matteo, A.; Globus, N.; Glombitza, J.; Golup, G.; Haungs, A.; Hörandel, J.R.; Jaffe, T.R.; Kelley, J.L.; Krizmanic, J.F.; Lu, L.; Matthews, J.N.; Maris, I.; Mussa, R.; Oikonomou, Foteini; Pierog, T.; Santos, E.; Tinyakov, P.; Tsunesada, Y.; Unger, M.; Yushkov, A.; Albrow, M.G.; Anchoroqui, L.A.; Andeen, K.; Arnone, E.; Barghini, D.; Bechtol, E.; Bellido, J.A.; Casolino, M.; Castellina, A.; Cazon, L.; Conceicão, R.; Cremonini, R.; Dujmovic, H.; Engel, R.; Marisaldi, Martino (Peer reviewed; Journal article, 2023)

  The present white paper is submitted as part of the “Snowmass” process to help inform the long-term plans of the United States Department of Energy and the National Science Foundation for high-energy physics. It summarizes ...

• Complement is increased in treatment resistant rectal cancer and modulates radioresistance 

  O'Brien, Rebecca M.; Meltzer, Sebastian; Buckley, Croí E.; Heeran, Aisling B.; Nugent, Timothy S.; Donlon, Noel E.; Reynolds, John V.; Ree, Anne Hansen; Redalen, Kathrine Røe; Hafeez, Adnan; O'Ríordáin, Diarmuid S.; Hannon, Robert A.; Neary, Paul; Kalbassi, Reza; Mehigan, Brian J.; McCormick, Paul H.; Dunne, Cara; Kelly, Michael E.; Larkin, John O.; O'Sullivan, Jacintha; Lysaght, Joanne; Lynam-Lennon, Niamh (Peer reviewed; Journal article, 2024)

  Resistance to neoadjuvant chemoradiation therapy (neo-CRT) is a significant clinical problem in the treatment of locally advanced rectal cancer. Identification of novel therapeutic targets and biomarkers predicting therapeutic ...

• Imaging and structure analysis of ferroelectric domains, domain walls, and vortices by scanning electron diffraction 

  Ludacka, Ursula; He, Jiali; Qin, Shuyu; Zahn, Manuel; Christiansen, Emil; Hunnestad, Kasper Aas; Zhang, Xinqiao; Yan, Zewu; Bourret, Edith; Kézsmárki, István; Van Helvoort, Antonius; Agar, Joshua; Meier, Dennis (Peer reviewed; Journal article, 2024)

  Direct electron detectors in scanning transmission electron microscopy give unprecedented possibilities for structure analysis at the nanoscale. In electronic and quantum materials, this new capability gives access to, for ...

• Interim 18F-FDG-PET based response-adaptive dose escalation of proton therapy for head and neck cancer: a treatment planning feasibility study 

  Garrido Hernandez, Guillermo; Henjum, Helge; Winter, Rene Mario; Alsaker, Mirjam Delange; Danielsen, Signe; Boer, Camilla Grindeland; Ytre-Hauge, Kristian Smeland; Redalen, Kathrine Røe (Peer reviewed; Journal article, 2024)

  Background Image-driven dose escalation to tumor subvolumes has been proposed to improve treatment outcome in head and neck cancer (HNC). We used 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) acquired ...

• In Vitro Cell Model Investigation of Alpha-Synuclein Aggregate Morphology Using Spectroscopic Imaging 

  Swaminathan, Priyanka; Klingstedt, Therése; Theologidis, Vasileios; Gram, Hjalte; Larsson, Johan; Hagen, Lars; Liabakk, Nina-Beate; Gederaas, Odrun Arna; Hammarström, Per; Nilsson, K. Peter R.; Van Den Berge, Nathalie; Lindgren, Mikael (Peer reviewed; Journal article, 2024)

  Recently, it has been hypothesized that alpha-synuclein protein strain morphology may be associated with clinical subtypes of alpha-synucleinopathies, like Parkinson’s disease and multiple system atrophy. However, direct ...

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