Blar i Scientific Publications in Information and Communication Technology på forfatter "Lei, Jiao"
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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 ... -
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. ... -
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 ... -
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 ... -
Face Inpainting via Nested Generative Adversarial Networks
Li, Zhijiang; Zhu, Haonan; Cao, Liqin; Lei, Jiao; Zhong, Yanfei; Ma, Ailong (Peer reviewed; Journal article, 2019) -
Field Measurements and Parameter Calibrations of Propagation Model for Digital Audio Broadcasting in Norway
Olsson Omslandseter, Rebekka; Lei, Jiao; Haglund, Magne Arild (Journal article; Peer reviewed, 2018) -
The Hierarchical Continuous Pursuit Learning Automation : A Novel Scheme for Environments With Large Numbers of Actions
Yazidi, Anis; Zhang, Xuan; Lei, Jiao; Oommen, John (Journal article; Peer reviewed, 2019) -
Indoor Space Classification Using Cascaded LSTM
Yadav, Rohan Kumar; Bhattarai, Bimal; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2020)Indoor space classification is an important part of localization that helps in precise location extraction, which has been extensively utilized in industrial and domestic domain. There are various approaches that employ ... -
An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application
Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (Lecture Notes in Computer Science;13980, Chapter; Peer reviewed, 2023)Data representation plays a crucial role in natural language processing (NLP), forming the foundation for most NLP tasks. Indeed, NLP performance highly depends upon the effectiveness of the preprocessing pipeline that ... -
LCRT : A ToA Based Mobile Terminal Localization Algorithm in NLOS Environment
Lei, Jiao; Li, Frank Yong; Zengyou, Xu (Journal article; Peer reviewed, 2009)Non line-of-sight (NLOS) propagation in range measurement is a key problem for mobile terminal localization. This paper proposes a low computational residual test (LCRT) algorithm that can identify the number of line-of-sight ... -
Learning Automata Based Q-Learning for Content Placement in Cooperative Caching
Yang, Zhong; Liu, Yuanwei; Chen, Yue; Lei, Jiao (Journal article; Peer reviewed, 2020)