Browsing AURA by Author "Lei, Jiao"
Now showing items 1-20 of 50
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A formal proof of the e-optimality of discretized pursuit algorithms
Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer; Lei, Jiao (Journal article; Peer reviewed, 2015) -
A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids
Thapa, Rajan; Lei, Jiao; Oommen, John; Yazidi, Anis (Journal article; Peer reviewed, 2017)In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, ... -
Analysis of load balancing and interference management in heterogeneous cellular networks
Abbas, Ziaul Haq; Muhammad, Fazal; Lei, Jiao (Journal article; Peer reviewed, 2017)To meet the current cellular capacity demands, proactive offloading is required in heterogeneous cellular networks (HetCNets) comprising of different tiers of base stations (BSs), e.g., small-cell BSs (sBSs) and conventional ... -
Analyzing the performance of transformers for streamflow prediction
Hindersland, Jonatan Hertzberg (Master thesis, 2023)Within the field of hydrology, there is a vital need to be able to predict streamflow values from hydrological basins. This has traditionally been done through physics and mathematics-based models, where measured data are ... -
ANN modelling of CO2 refrigerant cooling system COP in a smart warehouse
Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Pardiñas, Ángel Á.; Hafner, Armin; Kolhe, Mohan Lal (Peer reviewed; Journal article, 2020)Industrial cooling systems consume large quantities of energy with highly variable power demand. To reduce environmental impact and overall energy consumption, and to stabilize the power requirements, it is recommended to ... -
Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control
Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal (Peer reviewed; Journal article, 2022)Intermittent renewable energy production and dynamic load must be balanced through appropriate control of integrated energy storage to account for the temporal discrepancy among power supply and demand. Intelligent control ... -
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation
Olsvik, Erlend; Trinh, Christian M. D.; Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (Journal article; Peer reviewed, 2019) -
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
Abeyrathna, Kuruge Darshana; Abouzeid, Ahmed Abdulrahem Othman; Bhattarai, Bimal; Giri, Charul; Glimsdal, Sondre; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Sharma, Jivitesh; Tunheim, Svein Anders; Zhang, Xuan (Academic article, 2023)Tsetlin machine (TM) is a logic-based machine learning approach with the crucial advantages of being transparent and hardware-friendly. While TMs match or surpass deep learning accuracy for an increasing number of applications, ... -
Capacity driven small cell deployment in heterogeneous cellular networks : Outage probability and rate coverage analysis
Ullah, Arif; Haq Abbas, Ziaul; Muhammad, Fazal; Abbas, Ghulam; Lei, Jiao (Journal article; Peer reviewed, 2020) -
CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection
Sharif, Md Haidar; Lei, Jiao; Omlin, Christian Walter Peter (Peer reviewed; Journal article, 2023)Video anomaly event detection (VAED) is one of the key technologies in computer vision for smart surveillance systems. With the advent of deep learning, contemporary advances in VAED have achieved substantial success. ... -
Computational Offloading in Mobile Edge with Comprehensive and Energy Efficient Cost Function: A Deep Learning Approach
Abbas, Ziaul Haq; Ali, Zaiwar; Abbas, Ghulam; Lei, Jiao; Bilal, Muhammad; Suh, Doug-Young; Piran, Md Jalil (Peer reviewed; Journal article, 2021) -
A Convolutional Tsetlin Machine-based Field Programmable Gate Array Accelerator for Image Classification
Tunheim, Svein Anders; Lei, Jiao; Shafik, Rishad; Yakovlev, Alex; Granmo, Ole-Christoffer (Chapter, 2022)This paper presents a Field Programmable Gate Array (FPGA) implementation of an image classification accelerator based on the Convolutional Tsetlin Machine (CTM). The work is a concept design, and the solution demonstrates ... -
Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification
Tunheim, Svein Anders; Lei, Jiao; Shafik, Rishad Ahmed; Yakovlev, Alexandre; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2023)The Tsetlin Machine (TM) is a machine learning algorithm based on an ensemble of Tsetlin Automata (TAs) that learns propositional logic expressions from Boolean input features. In this paper, the design and implementation ... -
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification
Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (Chapter, 2022)Recent advancements in natural language processing (NLP) have reshaped the industry, with powerful language models such as GPT-3 achieving superhuman performance on various tasks. However, the increasing complexity of such ... -
Cyclostationary Random Number Sequences for the Tsetlin Machine
Tunheim, Svein Anders; Yadav, Rohan Kumar; Lei, Jiao; Shafik, Rishad; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2022)The Tsetlin Machine (TM) constitutes an emerging machine learning algorithm that has shown competitive performance on several benchmarks. The underlying concept of the TM is propositional logic determined by a group of ... -
Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks
Sharif, Md Haidar; Lei, Jiao; Omlin, Christian Walter Peter (Peer reviewed; Journal article, 2023)Abnormal event detection is one of the most challenging tasks in computer vision. Many existing deep anomaly detection models are based on reconstruction errors, where the training phase is performed using only videos of ... -
A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing
Zaiwar, Ali; Lei, Jiao; Baker, Thar; Abbas, Ghulam; Abbas, Ziaul Haq; Khaf, Sadia (Peer reviewed; Journal article, 2019)Mobile edge computing (MEC) has shown tremendous potential as a means for computationally intensive mobile applications by partially or entirely offloading computations to a nearby server to minimize the energy consumption ... -
Directive local color transfer based on dynamic look-up table
Li, Zhijiang; Tan, Zhenshan; Cao, Liqin; Chen, Hu; Lei, Jiao; Zhong, Yanfei (Journal article; Peer reviewed, 2019) -
Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks
Xiao, Xiang; Zeng, Fanzi; Hu, Zhenzhen; Lei, Jiao (Peer reviewed; Journal article, 2020)Cognitive radio networks (CRNs), which allow secondary users (SUs) to dynamically access a network without affecting the primary users (PUs), have been widely regarded as an effective approach to mitigate the shortage of ... -
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment
Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (Chapter, 2022)The proliferation of fake news, i.e., news intentionally spread for misinformation, poses a threat to individuals and society. Despite various fact-checking websites such as PolitiFact, robust detection techniques are ...