All Outputs (368)

An Efficient Lightweight Image Encryption Scheme Using Multichaos (2022)
Journal Article
Ullah, A., Shah, A. A., Khan, J. S., Sajjad, M., Boulila, W., Akgul, A., …Ahmad, J. (2022). An Efficient Lightweight Image Encryption Scheme Using Multichaos. Security and Communication Networks, 2022, Article 5680357. https://doi.org/10.1155/2022/56803

With an immense increase in Internet multimedia applications over the past few years, digital content such as digital images are stored and shared over global networks, the probability for information leakage and illegal modifications to the digital... Read More about An Efficient Lightweight Image Encryption Scheme Using Multichaos.

Multi-Objective Evolutionary Optimisation for Prototype-Based Fuzzy Classifiers (2022)
Journal Article
Gu, X., Li, M., Shen, L., Tang, G., Ni, Q., Peng, T., & Shen, Q. (2023). Multi-Objective Evolutionary Optimisation for Prototype-Based Fuzzy Classifiers. IEEE Transactions on Fuzzy Systems, 31(5), 1703-1715. https://doi.org/10.1109/tfuzz.2022.3214241

Evolving intelligent systems (EISs), particularly, the zero-order ones have demonstrated strong performance on many real-world problems concerning data stream classification, while offering high model transparency and interpretability thanks to their... Read More about Multi-Objective Evolutionary Optimisation for Prototype-Based Fuzzy Classifiers.

A Deployable and Cost-Effective Kirigami Antenna for Sub-6 GHz MIMO Applications (2022)
Journal Article
Kiani, S. H., Marey, M., Rafique, U., Shah, S. I. H., Bashir, M. A., Mostafa, H., …Parchin, N. O. (2022). A Deployable and Cost-Effective Kirigami Antenna for Sub-6 GHz MIMO Applications. Micromachines, 13(10), Article 1735. https://doi.org/10.3390/mi13

In this work, a low-cost, deployable, integratable, and easy-to-fabricate multiple-input multiple-output (MIMO) Kirigami antenna is proposed for sub-6 GHz applications. The proposed MIMO antenna is inspired by Kirigami art, which consists of four rad... Read More about A Deployable and Cost-Effective Kirigami Antenna for Sub-6 GHz MIMO Applications.

Object Detection Using Sim2Real Domain Randomization for Robotic Applications (2022)
Journal Article
Horváth, D., Erdős, G., Istenes, Z., Horváth, T., & Földi, S. (2023). Object Detection Using Sim2Real Domain Randomization for Robotic Applications. IEEE Transactions on Robotics, 39(2), 1225-1243. https://doi.org/10.1109/tro.2022.3207619

Robots working in unstructured environments must be capable of sensing and interpreting their surroundings. One of the main obstacles of deep-learning-based models in the field of robotics is the lack of domain-specific labeled data for different ind... Read More about Object Detection Using Sim2Real Domain Randomization for Robotic Applications.

6E analyses of a new solar energy-driven polygeneration system integrating CO2 capture, organic Rankine cycle, and humidification-dehumidification desalination (2022)
Journal Article
Khani, N., Khoshgoftar Manesha, M., & Onishi, V. (2022). 6E analyses of a new solar energy-driven polygeneration system integrating CO2 capture, organic Rankine cycle, and humidification-dehumidification desalination. Journal of Cleaner Production, 379, A

Integrated solar-assisted polygeneration systems have emerged as an effective and sustainable alternative for meeting thermal, power and freshwater demands through decentralized generation. In this framework, this study introduces a new design and dy... Read More about 6E analyses of a new solar energy-driven polygeneration system integrating CO2 capture, organic Rankine cycle, and humidification-dehumidification desalination.

YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment (2022)
Journal Article
Muksit, A. A., Hasan, F., Hasan Bhuiyan Emon, M. F., Haque, M. R., Anwary, A. R., & Shatabda, S. (2022). YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment. Ecological Informatics, 72, Article 101847. https://doi.o

Over the last few years, several research works have been performed to monitor fish in the underwater environment aimed for marine research, understanding ocean geography, and primarily for sustainable fisheries. Automating fish identification is ver... Read More about YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment.

Barriers and opportunities of fast-growing biobased material use in buildings (2022)
Journal Article
Göswein, V., Arehart, J., Phan-huy, C., Pomponi, F., & Habert, G. (2022). Barriers and opportunities of fast-growing biobased material use in buildings. Buildings and Cities, 3(1), 745-755. https://doi.org/10.5334/bc.254

Limiting global warming to 1.5°C requires immediate and drastic reductions in greenhouse gas (GHG) emissions. A significant contributor to anthropogenic global GHG emissions is the production of building materials. Biobased materials offer the potent... Read More about Barriers and opportunities of fast-growing biobased material use in buildings.

A brain atlas of synapse protein lifetime across the mouse lifespan (2022)
Journal Article
Bulovaite, E., Qiu, Z., Kratschke, M., Zgraj, A., Fricker, D. G., Tuck, E. J., …Grant, S. G. (2022). A brain atlas of synapse protein lifetime across the mouse lifespan. Neuron, 110(24), 4057-4073. https://doi.org/10.1016/j.neuron.2022.09.009

The lifetime of proteins in synapses is important for their signaling, maintenance, and remodeling, and for memory duration. We quantified the lifetime of endogenous PSD95, an abundant postsynaptic protein in excitatory synapses, at single-synapse re... Read More about A brain atlas of synapse protein lifetime across the mouse lifespan.

Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer (2022)
Journal Article
Bagadi, K., Ravikumar, C., Sathish, K., Alibakhshikenari, M., Virdee, B. S., Kouhalvandi, L., Olan-Nuñez, . K. N., Pau, G., See, C. H., Dayoub, I., Livreri, . P., Aïssa, S., Falcone, F., & Limiti, E. (2022). Detection of Signals in MC–CDMA Using a No

This paper presents a technique to mitigate multiple access interference (MAI) in multicarrier code division multiple access (MC-CDMA) wireless communications systems. Although under normal circumstances the MC-CDMA system can achieve high spectral e... Read More about Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer.

A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems (2022)
Journal Article
Aslan, A., Ursavas, E., & Romeijnders, W. (2023). A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems. Omega, 115, Article 102779. https://doi.org/10.1016/j.omega.2022.102779

This paper studies a unique precedence constrained knapsack problem in which there are two methods available to place an item in the knapsack. Whether or not an item weight is uncertain depends on which one of the two methods is selected. This knapsa... Read More about A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems.

Special Issue on Adversarial AI to IoT Security and Privacy Protection: Attacks and Defenses (2022)
Journal Article
Gao, H., & Tan, Z. (2022). Special Issue on Adversarial AI to IoT Security and Privacy Protection: Attacks and Defenses. Computer Journal, 65(11), 2847-2848. https://doi.org/10.1093/comjnl/bxac128

The prosperity of social IoT data brings revolutionary changes to our daily lives and greatly increases the existing data volume. But IoT data are vulnerable due to security and privacy issues. Over the past few years, malicious adversaries exploited... Read More about Special Issue on Adversarial AI to IoT Security and Privacy Protection: Attacks and Defenses.

Football viewing centres in an African megacity: viewers’ characteristics and operational dynamics (2022)
Journal Article
Ogunseye, N. O., Olowosegun, A. M., Kadiri, W. A., Salisu, U. O., & Ogunseye, O. D. (2024). Football viewing centres in an African megacity: viewers’ characteristics and operational dynamics. African geographical review, 43(1), 186-203. https://doi.org/

This study examines viewers’ characteristics and operational dynamics of football viewing centres (FVCs) in Agege, Lagos Megacity, Nigeria. It anchors on the “theory of happiness” and the microeconomic vitality of FVCs using a mixed-methods approach.... Read More about Football viewing centres in an African megacity: viewers’ characteristics and operational dynamics.

WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs (2022)
Journal Article
Ta, H. T., Rahman, A. B. S., Majumder, N., Hussain, A., Najjar, L., Howard, N., …Gelbukh, A. (2023). WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs. Information Fusion, 90, 265-282. https://doi.org/10.1016/j.inffus.

As free online encyclopedias with massive volumes of content, Wikipedia and Wikidata are key to many Natural Language Processing (NLP) tasks, such as information retrieval, knowledge base building, machine translation, text classification, and text s... Read More about WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs.

AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning (2022)
Journal Article
Saeed, U., Abbasi, Q. H., & Shah, S. A. (2022). AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning. CCF Transactions on Pervasive Computing and Interaction, 4(4), 381-392. https://doi.org/10

In less than three years, more than six million fatalities have been reported worldwide due to the coronavirus pandemic. COVID-19 has been contained within a broad range due to restrictions and effective vaccinations. However, there is a greater risk... Read More about AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning.

Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions (2022)
Journal Article
Gandhi, A., Adhvaryu, K., Poria, S., Cambria, E., & Hussain, A. (2023). Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions. Information Fusion, 91, 424-444. ht

Sentiment analysis (SA) has gained much traction In the field of artificial intelligence (AI) and natural language processing (NLP). There is growing demand to automate analysis of user sentiment towards products or services. Opinions are increasingl... Read More about Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions.

An enduring in vitro wound healing phase recipient by bioactive glass-graphene oxide nanocomposites (2022)
Journal Article
Nandhakumar, M., Thangaian, D. T., Sundaram, S., Roy, A., & Subramanian, B. (2022). An enduring in vitro wound healing phase recipient by bioactive glass-graphene oxide nanocomposites. Scientific Reports, 12(1), Article 16162. https://doi.org/10.1038/s415

Bioactive glass (BG) is an interesting topic in soft tissue engineering because of its biocompatibility and bonding potential to increase fibroblast cell proliferation, synthesize growth factors, and stimulate granulation tissue development. The prop... Read More about An enduring in vitro wound healing phase recipient by bioactive glass-graphene oxide nanocomposites.

On the Fast DHT Precoding of OFDM Signals over Frequency-Selective Fading Channels for Wireless Applications (2022)
Journal Article
Anoh, K., Tanriover, C., Ribeiro, M. V., Adebisi, B., & See, C. H. (2022). On the Fast DHT Precoding of OFDM Signals over Frequency-Selective Fading Channels for Wireless Applications. Electronics, 11(19), Article 3099. https://doi.org/10.3390/electronics

Due to high power consumption and other problems, it is unlikely that orthogonal frequency-division multiplexing (OFDM) would be included in the uplink of the future 6G standard. High power consumption in OFDM systems is motivated by the high peak-to... Read More about On the Fast DHT Precoding of OFDM Signals over Frequency-Selective Fading Channels for Wireless Applications.

Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform (2022)
Journal Article
Ali, H., Ahmad, J., Jaroucheh, Z., Papadopoulos, P., Pitropakis, N., Lo, O., …Buchanan, W. J. (2022). Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform. Entropy, 24(10), Article 1379. ht

Historically, threat information sharing has relied on manual modelling and centralised network systems, which can be inefficient, insecure, and prone to errors. Alternatively, private blockchains are now widely used to address these issues and impro... Read More about Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform.

Investigating Machine Learning Attacks on Financial Time Series Models (2022)
Journal Article
Gallagher, M., Pitropakis, N., Chrysoulas, C., Papadopoulos, P., Mylonas, A., & Katsikas, S. (2022). Investigating Machine Learning Attacks on Financial Time Series Models. Computers and Security, 123, https://doi.org/10.1016/j.cose.2022.102933

Machine learning and Artificial Intelligence (AI) already support human decision-making and complement professional roles, and are expected in the future to be sufficiently trusted to make autonomous decisions. To trust AI systems with such tasks, a... Read More about Investigating Machine Learning Attacks on Financial Time Series Models.

Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks (2022)
Journal Article
Yigit, Y., Bal, B., Karameseoglu, A., Duong, T. Q., & Canberk, B. (2022). Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks. IEEE Communications Standards Magazine, 6(3), 38-44. https://doi.org/10.1109/MCOMSTD.0001.210

Existing distributed denial of service attack (DDoS) solutions cannot handle highly aggregated data rates; thus, they are unsuitable for Internet service provider (ISP) core networks. This article proposes a digital twin-enabled intelligent DDoS dete... Read More about Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks.