Items where Subject is "Artificial Intelligence"
  • ASJC Scopus Subject Areas (4053)
  • Computer Science(all) (481)
  • Artificial Intelligence (119)
    Number of items at this level: 119.
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  • Adoption of artificial intelligence in operations management. (2023) Oluseyi Adeyemi, Idowu A. Ayoade, Esther Onoge Adeyemi, Oladeji Oluniyi Olanrele, Ibukun Eweoya and Joel Matthew
  • Arabic Music Genre Identification. (2024) Moataz Ahmed, Sherif Fadel, Manal E. Helal and Abdel Moneim Wahdan
  • User Comfort-Oriented Home Energy Management System Under Demand Response. (2023) Fayiz Alfaverh, Mouloud Denai and Yichuang Sun
  • Real-Time Communication Network Using Firebase Cloud IoT Platform for ECMO Simulation. (2018) A. Alsalemi, Yahya Alhomsi, M. A. Disi, I. Ahmed, F. Bensaali, Abbes Amira and G. Alinier
  • Application of support vector machines to detect hand and wrist gestures using a myoelectric armband. (2017) Farshid Amirabdollahian and Michael Walters
  • Editorial: Explanation in human-AI systems. (2022) Anastasia Angelopoulou, Epaminondas Kapetanios, David Harris Smith, Volker Steuber, Bencie Woll and Frauke Zeller
  • General self-motivation and strategy identification : Case studies based on Sokoban and Pac-Man. (2013) Tom Anthony, D. Polani and C.L. Nehaniv
  • An overview of RoboCup-2002 Fukuoka/Busan. (2003) Minoru Asada, Oliver Obst, Daniel Polani, Brett Browning, Andrea Bonarini, Masahiro Fujita, Thomas Christaller, Tomoichi Takahashi, Satoshi Tadokoro, Elizabeth Sklar and Gal A. Kaminka
  • Automatic generation of level maps with the do what's possible representation. (2019) Daniel Ashlock and Christoph Salge
  • The riddle of togelby. (2019) Daniel Ashlock and Christoph Salge
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  • Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting. (2023) Shelly Bagchi, Patrick Holthaus, Gloria Beraldo, Emmanuel Senft, Daniel Hernández García, Zhao Han, Suresh Kumaar Jayaraman, Alessandra Rossi, Connor Esterwood, Antonio Andriella and Paul Pridham
  • Stakeholder analysis in the application of cutting-edge digital visualisation technologies for urban flood risk management: A critical review. (2024) Vahid Bakhtiari, Farzad Piadeh, Albert S. Chen and Kourosh Behzadian
  • Optimizing Efficiency Using a Low-Cost RFID-Based Inventory Management System. (2024) Imasha Bandara, Oluyomi Simpson and Yichuang Sun
  • Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop. (2018) Martin Biehl, Christian Guckelsberger, Christoph Salge, Simon Smith and Daniel Polani
  • Principles of robotics : regulating robots in the real world. (2017) Margaret Boden, Joanna Bryson, Darwin Caldwell, Kerstin Dautenhahn, Lilian Edwards, Sarah Kember, Paul Newman, Vivienne Parry, Geoff Pegman, Tom Rodden, Tom Sorrell, Mick Wallis, Blay Whitby and Alan Winfield
  • How to Solve AI Bias. (2020) Robin Bradley
  • The ITALK project : A developmental robotics approach to the study of individual, social, and linguistic learning. (2014) Frank Broz, C.L. Nehaniv, Tony Belpaeme, Ambra Bisio, K. Dautenhahn, Luciano Fadiga, Tomassino Ferrauto, Kerstin Fischer, Frank Förster, Onofrio Gigliotta, Sascha Griffiths, Hagen Lehmann, Katrin S. Lohan, Caroline Lyon, Davide Marocco, Gianluca Massera, Giorgio Metta, Vishwanathan Mohan, Anthony Morse, Stefano Nolfi, Francesco Nori, Martin Peniak, Karola Pitsch, Katharina J. Rohlfing, Gerhard Sagerer, Yo Sato, Joe Saunders, Lars Schillingmann, Alessandra Sciutti, Vadim Tikhanoff, Britta Wrede, Arne Zeschel and Angelo Cangelosi
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  • Embodied Robot Models for Interdisciplinary Emotion Research. (2019) Lola Canamero
  • Making New "New AI" Friends : Designing a Social Robot for Diabetic Children from an Embodied AI Perspective. (2016) Lola Canamero and Matthew Lewis
  • Goal-directed Empowerment: combining Intrinsic Motivation and Task-oriented Behaviour. (2020) Nicola Catenacci Volpi and Daniel Polani
  • Does the Appearance of a Robot Influence People's Perception of Task Criticality? (2018) Adeline Chanseau, Kerstin Dautenhahn, Michael L. Walters, Kheng Lee Koay, Gabriella Lakatos and Maha Salem
  • Feature weighting in DBSCAN using reverse nearest neighbours. (2023) Stiphen Chowdhury, Na Helian and Renato Cordeiro de Amorim
  • A-Wardpβ : Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation. (2016) Renato Cordeiro De Amorim, Vladimir Makarenkov and Boris Mirkin
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  • Does anyone want to talk to me? : Reflections on the use of assistance and companion robots in care homes. (2015) K. Dautenhahn, Anne Campbell and D.S. Syrdal
  • Deep Learning for Semantic Segmentation on Minimal Hardware. (2019) Sander G. van Dijk and Marcus M. Scheunemann
  • EEG Spectral Feature Modulations Associated with Fatigue in Robot-Mediated Upper Limb Gross and Fine Motor Interactions. (2022) Udeshika Dissanayake, Volker Steuber and Farshid Amirabdollahian
  • On the Integration of Adaptive and Interactive Robotic Smart Spaces. (2015) Mauro Dragone, Joe Saunders and K. Dautenhahn
  • A graph-based spectral classification of Type II supernovae. (2023) Rafael S. de Souza, Stephen Thorp, Lluis Galbany, Emille E.~O. Ishida, Santiago González-Gaitán, Morgan A. Schmitz, Alberto Krone-Martins and Christina Peters
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  • A Hybrid Architecture for Federated and Centralized Learning. (2022) Ahmet M. Elbir, Sinem Coleri, Anastasios K. Papazafeiropoulos, Pandelis Kourtessis and Symeon Chatzinotas
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  • Parallel Image Encryption Algorithm Using Partitioned Cellular Automata on Graphic Processor Unit. (2023) Mahmood Fazlali, Amirhossein Alihoseini, Ebrahim Zarei, Myasar Tabani and Seyedali Pourmoafi
  • GPU-based Parallel Technique for Solving the N-Similarity Problem in Textual Data Mining. (2024) Mahmood Fazlali, Mina Mirhosseini, Mahyar Shahsavari, Alex Shafarenko and Mashaallah Mashinchi
  • Motor Resonance as Indicator for Quality of Interaction - Does it Scale to Natural Movements? (2018) Frank Foerster, Kerstin Dautenhahn and Chrystopher Nehaniv
  • Working with troubles and failures in conversation between humans and robots: workshop report. (2023) Frank Foerster, Marta Romeo, Patrick Holthaus, Luke Wood, Christian Dondrup, Joel E. Fischer, Farhana Ferdousi Liza, Sara Kaszuba, Julian Hough, Birthe Nesset, Daniel Hernández García, Dimosthenis Kontogiorgos, Jennifer Williams, Elif Ecem Özkan, Pepita Barnard, Gustavo Berumen, Dominic Price, Sue Cobb, Martina Wiltschko, Lucien Tisserand, Martin Porcheron, Manuel Giuliani, Gabriel Skantze, Patrick Healey, Ioannis Papaioannou, Dimitra Gkatzia, Saul Albert, Guanyu Huang, Vladislav Maraev and Epameinondas Kapetanios
  • Robots that Say ‘No’. Affective Symbol Grounding and the Case of Intent Interpretations. (2018) Frank Foerster, Joe Saunders and Chrystopher Nehaniv
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  • Mitigating Modal Noise in Multimode Circular Fibres by Optical Agitation using a Galvanometer. (2024) Supriyo Ghosh, Chantira Boonsri, William Martin, Hugh R. A. Jones, Piyamas Choochalerm, Sarah Usher, Stephanos Yerolatsitis, Thomas Wocial and Thomas Wright
  • Receptive field optimisation and supervision of a fuzzy spiking neural network. (2011) Cornelius Glackin, Liam Maguire, Liam McDaid and Heather Sayers
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  • A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities. (2024) Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan and Muhammad Shahid Anwar
  • Digital Twins Approaches and Methods Review. (2023) Mohammed Helal, Hamed Shawky Zied, Ahmed Khairy Mahmoud, Manal Helal, Ali E. Takieldeen and Samia M. Abd-Alhalem
  • Spinal Muscle Atrophy Disease Modelling as Bayesian Network. (2021) Manal Helal
  • Graph-Based Patent Mining for Mechanical Designs. (2024) Manal Helal and Mohammed Helal
  • When the Robotic Maths Tutor is Wrong - Can Children Identify Mistakes Generated by ChatGPT? (2024) Manal Helal, Patrick Holthaus, Luke Wood, Vignesh Velmurugan, Gabriella Lakatos, Sílvia Moros Espanol and Farshid Amirabdollahian
  • An Examination of the Hidden Judging Criteria in the Generative Design in Minecraft Competition. (2023) Jean-Baptiste Herve, Christoph Salge and Henrik Warpefelt
  • Arousal regulation and affective adaptation to human responsiveness by a robot that explores and learns a novel environment. (2014) Antoine Hiolle, Matthew Lewis and Lola Cañamero
  • Communicative Robot Signals: Presenting a New Typology for Human-Robot Interaction. (2023) Patrick Holthaus, Trenton Schulz, Gabriella Lakatos and Rebekka Soma
  • Editorial for VSI:NLDB-saarbruecken-2021. (2024) Helmut Horacek, Epaminondas Kapetanios, Elisabeth Metais and Farid Meziane
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  • A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition. (2022) Shreyah Iyer, Cornelius Glackin, Nigel Cannings, Vito Veneziano and Yi Sun
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  • The Bi-objective Periodic Closed Loop Network Design Problem. (2020) Elham Jelodari Mamaghani and Soheil Davari
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  • LCADNet: A Novel Light CNN Architecture for EEG-based Alzheimer Disease Detection. (2024) Pramod Kachare, Digambar Puri, Sandeep B. Sangle, Ibrahim Al-Shourbaji, Abdoh Jabbari, Raimund Kirner, Abdalla Alameen, Hazem Migdady and Laith Abualigah
  • Modeling Affect-Based Relationships and Social Allostasis as Mechanisms for Adaptation in Social Groups. (2021) Imran M. Khan
  • A Narrative Approach to Human-Robot Interaction Prototyping for Companion Robots. (2020) Kheng Koay, Dag Sverre Syrdal, Kerstin Dautenhahn and Michael Walters
  • Contactless Camera-Based Heart Rate and Respiratory Rate Monitoring Using AI on Hardware. (2023) Dimitrios Kolosov, Vasilios Kelefouras, Pandelis Kourtessis and Iosif Mporas
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  • Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation. (2022) Weidong Li, Yuchen Liang and Yiding Liu
  • Epigenetic adaptation through hormone modulation in autonomous robots. (2013) John Lones and Lola Canamero
  • A Hormone-Driven Epigenetic Mechanism for Adaptation in Autonomous Robots. (2018) John Lones, Matthew Lewis and Lola Cañamero
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  • Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications. (2024) Setinder Manic, Chuan Heng Foh, Abdulkadir Kose, Haeyoung Lee, Chee Yen Leow, Klaus Moessner and Chakkaphong Suthaputchakun
  • Intrusion Detection Method Based on SMOTE Transformation for Smart Grid Cybersecurity. (2022) Mohamed Massaoudi, Shady S. Refaat and Haitham Abu-Rub
  • ODRE Workshop: Using SIL Arithmetic to Design Safe and Secure Systems. (2020) Catherine Menon, Saverio Iacovelli and Raimund Kirner
  • The verification of periodicity with the use of recurrent neural networks. (2024) N Miller, P W Lucas, Y Sun, Z Guo, W J Cooper and C Morris
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  • Ensemble of correlation, parenclitic and synolitic graphs as a tool to detect universal changes in complex biological systems: Comment on "Dynamic and thermodynamic models of adaptation" by A.N. Gorban et al. (2021) Tatiana Nazarenko, Oleg Blyuss, Harry Whitwell and Alexey Zaikin
  • Differences on social acceptance of humanoid robots between Japan and the UK. (2015) Tatsuya T. Nomura, D.S. Syrdal and K. Dautenhahn
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  • Burnt-in Text Recognition from Medical Imaging Modalities: Existing Machine Learning Practices. (2024) Efosa Osagie, Wei Ji and Na Helian
  • Ensemble Learning for Medical Image Character Recognition based on Enhanced Lenet-5. (2023) Efosa Osagie, Wei Ji and Na Helian
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  • Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. (2021) Pavlos Papadopoulos, Oliver Thornewill von Essen, Nikolaos Pitropakis, Christos Chrysoulas, Alexios Mylonas and William J. Buchanan
  • Forensically classifying files using HSOM algorithms. (2012) Georgios Pierris and Stilianos Vidalis
  • Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems. (2018) Daniel Polani, Takashi Ikegami and Martin Biehl
  • Measuring Time with Minimal Clocks. (2019) Daniel Polani, Chrystopher Nehaniv, Christoph Salge and Andrei Robu
  • LEADNet: Detection of Alzheimer’s Disease using Spatiotemporal EEG Analysis and Low-Complexity CNN. (2024) Digambar V. Puri, Pramod H. Kachare, Sandeep B. Sangle, Raimund Kirner, Abdoh Jabbari, Ibrahim Al-Shourbaji, Mohammed Abdalraheem and Abdalla Alameen
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  • Improving Student's Engagement Through the Use of Learning Modules, Instantaneous Feedback and Automated Marking. (2019) Prapa Rattadilok and Chris Roadknight
  • Teaching Students about Machine Learning Through a Gamified Approach. (2019) Prapa Rattadilok, Chris Roadknight and Li Li
  • AI facial recognition and biometric detection: balancing consumer rights and corporate interests. (2022) Felipe Romero Moreno
  • The impact of peoples' personal dispositions and personalities on their trust of robots in an emergency scenario. (2018) Alessandra Rossi, Kerstin Dautenhahn, Kheng Lee Koay and Michael L. Walters
  • Getting to know Pepper : Effects of people’s awareness of a robot’s capabilities on their trust in the robot. (2018) Alessandra Rossi, Patrick Holthaus, Kerstin Dautenhahn, Kheng Lee Koay and Michael L. Walters
  • The human in the loop Perspectives and challenges for RoboCup 2050. (2024) Alessandra Rossi, Maike Paetzel-Prüsmann, Merel Keijsers, Michael Anderson, Susan Leigh Anderson, Daniel Barry, Jan Gutsche, Justin Hart, Luca Iocchi, Ainse Kokkelmans, Wouter Kuijpers, Yun Liu, Daniel Polani, Caleb Roscon, Marcus Scheunemann, Peter Stone, Florian Vahl, René van de Molengraft and Oskar von Stryk
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  • Detection and Classification of Defects in XLPE Power Cable Insulation via Machine Learning Algorithms. (2022) Mohammad Alshaikh Saleh, Shady S. Refaat, Sunil P. Khatri and Ali Ghrayeb
  • Cultural robotics: The culture of robotics and robotics in culture. (2013) Hooman Samani, Elham Saadatian, Natalie Pang, Doros Polydorou, Owen Noel Newton Fernando, Ryohei Nakatsu and Jeffrey Tzu Kwan Valino Koh
  • A template based user-teaching system for an Assistive Robot. (2014) Joe Saunders, D.S. Syrdal and K. Dautenhahn
  • ‘Teach Me - Show Me’- End-user personalisation of a smart home and companion robot. (2016) Joe Saunders, D.S. Syrdal, Kheng Koay, Nathan Burke and K. Dautenhahn
  • Autonomous and Intrinsically Motivated Robots for Sustained Human-Robot Interaction. (2021) Marcus M. Scheunemann
  • Bluetooth low energy for autonomous human-robot interaction. (2017) Marcus M. Scheunemann and Kerstin Dautenhahn
  • Utilizing Bluetooth Low Energy to recognize proximity, touch and humans. (2016) Marcus M. Scheunemann, Kerstin Dautenhahn, Maha Salem and Ben Robins
  • ROS 2 for RoboCup. (2019) Marcus M. Scheunemann and Sander G. van Dijk
  • Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction. (2022) Marcus Scheunemann, Christoph Salge, Daniel Polani and Kerstin Dautenhahn
  • On the Non-Intrusive Extraction of Residents’ Privacy and Security Sensitive Information from Energy Smart Meters. (2021) Pascal Schirmer and Iosif Mporas
  • Movement Acts in Breakdown Situations : How a Robot’s Recovery Procedure Affects Participants’ Opinions. (2021) Trenton Schulz, Rebekka Soma and Patrick Holthaus
  • Winternitz stack protocols for embedded systems and IoT. (2024) Alex Shafarenko
  • Can Real-time, Adaptive Human-Robot Motor Coordination Improve Humans’ Overall Perception of a Robot? (2015) Qiming Shen, K. Dautenhahn, Joe Saunders and Hatice Kose
  • Recognizing facial expressions : Computational models and humans. (2013) Aruna Shenoy, N. Davey and Ray Frank
  • A Stochastic based Physical Layer Security in Cognitive Radio Networks: Cognitive Relay to Fusion Center. (2020) Oluyomi Simpson and Yichuang Sun
  • Sentiment Analysis of Teachers Using Social Information in Educational Platform Environments. (2020) Nikolaos Spatiotis, Isidoros Perikos, Iosif Mporas and Michael Paraskevas
  • KASPAR in the wild - Initial findings from a pilot study. (2014) D.S. Syrdal, Hagen Lehmann, Ben Robins and K. Dautenhahn
  • Enhancing Convolutional Neural Networks for Face Recognition with Occlusion Maps and Batch Triplet Loss. (2018) Daniel Sáez-Trigueros, Li Meng and Margaret Hartnett
  • Generating photo-realistic training data to improve face recognition accuracy. (2021) Daniel Sáez-Trigueros, Li Meng and Margaret Hartnett
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  • How to exploit fitness landscape properties of timetabling problem: A newoperator for quantum evolutionary algorithm. (2020) Mohammad Tayarani
  • An evolutionary ensemble learning for diagnosing COVID-19 via cough signals. (2023) Mohammad Tayarani
  • Unravelling Player's Insights: A Comparative Analysis of Topic Modelling Techniques on Game Reviews and Video Game Developers' Perspectives. (2024) Xinge Tong, Ian Willcock and Yi Sun
  • Non-Local Configuration of Component Interfaces by Constraint Satisfaction. (2020) Olga Tveretina, Pavel Zaichenkov and Alex Shafarenko
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  • Rebuilding 'ethics' to govern AI: How to re-set the boundaries for the legal sector? (2023) Mehmet Bilal Unver
  • Role of Trust in AI-Driven Healthcare Systems: Discussion from the Perspective of Patient Safety. (2022) Mehmet Bilal Unver and Onur Asan
  • Applying machine learning techniques to predict laminar burning velocity for ammonia/hydrogen/air mixtures. (2023) Cihat Emre Ustun, Mohammad Reza Herfatmanesh, Agustin Valera Medina and Amin Paykani
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  • Formative Usability Evaluation of WiGlove - A Home-based Rehabilitation Device for Hand andWrist Therapy after Stroke. (2023) Vignesh Velmurugan, Luke Jai Wood and Farshid Amirabdollahian
  • R and D. (2016) Simon Vinnicombe
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  • The collection, analysis and exploitation of footballer attributes: A systematic review. (2022) Ed Wakelam, Volker Steuber and James Wakelam
  • High-dimensional memristive neural network and its application in commercial data encryption communication. (2024) Chunhua Wang, Dong Tang, Hairong Lin, Fei Yu and Yichuang Sun
  • Toward Reliable Autonomous Robotic Assistants Through Formal Verification : A Case Study. (2016) Matt Webster, Clare Dixon, Michael Fisher, Maha Salem, Joe Saunders, Kheng Lee Koay, K. Dautenhahn and Joan Saez-Pons
  • Impossible Movement Illusions. (2018) Richard Wiseman and william Houstoun
  • And Now for Something Completely Different: Inattentional Blindness during a Monty Python's Flying Circus Sketch. (2015) Richard Wiseman
  • Turning the other lobe: : Directional biases in brain diagrams. (2017) Richard Wiseman and Adrian M. Owen
  • Developing a protocol and experimental setup for using a humanoid robot to assist children with autism to develop visual perspective taking skills. (2019) Luke Wood, Ben Robins, Gabriella Lakatos, Dag Sverre Syrdal, Abolfazl Zaraki and Kerstin Dautenhahn
  • Robot-Mediated Interviews with Children : What do potential users think? (2014) L. J. Wood, H. Lehmann, K. Dautenhahn, B. Robins, A. Rainer and D.S. Syrdal
  • Developing child-robot interaction scenarios with a humanoid robot to assist children with autism in developing visual perspective taking skills. (2017) L. Wood, K. Dautenhahn, B. Robins and A. Zaraki
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  • 3D CFD modeling of air flow through a porous fence. (2013) Yizhong Xu, Mohamed Y. Mustafa, Jason Knight, Muhammad Virk and George Haritos
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  • Hybrid multisynchronization of coupled multistable memristive neural networks with time delays. (2019) Wei Yao, Chunhua Wang, Jinde Cao, Yichuang Sun and Chao Zhou
  • Event-Triggered Control for Robust Exponential Synchronization of Inertial Memristive Neural Networks Under Parameter Disturbance. (2023) Wei Yao, Chunhua Wang, Yichuang Sun, Shuqing Gong and Hairong Lin
  • Synchronization of inertial memristive neural networks with time-varying delays via static or dynamic event-triggered control. (2020) Wei Yao, Chunhua Wang, Yichuang Sun, Chao Zhou and Hairong Lin
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  • Spoken word recognition of novel words, either produced or only heard during learning. (2015) Tania S. Zamuner, Elizabeth Morin-Lessard, Stephanie Strahm and Michael P A Page
  • Development of a Semi-Autonomous Robotic System to Assist Children with Autism in Developing Visual Perspective Taking Skills. (2018) Abolfazl Zaraki, Luke Wood, Ben Robins and Kerstin Dautenhahn
  • Weighted Sum Synchronization of Memristive Coupled Neural Networks. (2020) Chao Zhou, Chunhua Wang, Yichuang Sun and Wei Yao
  • Cluster Output Synchronization for Memristive Neural Networks. (2022) Chao Zhou, Chunhua Wang, Yichuang Sun, Wei Yao and Hairong Lin