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- research-articleApril 2024
HR-Net: Point cloud registration with hierarchical coarse-to-fine regression network
Computers and Electrical Engineering (CENG), Volume 113, Issue Chttps://doi.org/10.1016/j.compeleceng.2023.109056AbstractWe introduce a hierarchical coarse-to-fine registration network named HR-Net for point cloud registration. Our method incorporates the features of different layers and predicts the rigid transformation without using RANSAC in a coarse-to-fine ...
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Highlights- A fine correspondence network is presented to refine the coarse transformation
- We directly predict the transformation without RANSAC by a coarse-to-fine strategy
- Our approach shows competitive performance on both the 3DMatch and ...
- ArticleOctober 2023
Breaking down the Hierarchy: A New Approach to Leukemia Classification
- Ibraheem Hamdi,
- Hosam El-Gendy,
- Ahmed Sharshar,
- Mohamed Saeed,
- Muhammad Ridzuan,
- Shahrukh K. Hashmi,
- Naveed Syed,
- Imran Mirza,
- Shakir Hussain,
- Amira Mahmoud Abdalla,
- Mohammad Yaqub
Applications of Medical Artificial IntelligencePages 104–113https://doi.org/10.1007/978-3-031-47076-9_11AbstractThe complexities inherent to leukemia, multifaceted cancer affecting white blood cells, pose considerable diagnostic and treatment challenges, primarily due to reliance on laborious morphological analyses and expert judgment that are susceptible ...
- ArticleMay 2024
HM-Transformer: Hierarchical Multi-modal Transformer for Long Document Image Understanding
AbstractTransformer plays a massive role in document image understanding. However, it has difficulty handling text in long document images due to the increasing quadratic complexity along the text length. To solve this problem, we propose the hierarchical ...
- research-articleSeptember 2023
Growing Hierarchical Self-Organising Representation Map (GHSORM)
Information Sciences: an International Journal (ISCI), Volume 642, Issue Chttps://doi.org/10.1016/j.ins.2023.119121AbstractThe Growing Hierarchical Self-Organising Representation Map (GHSORM) is a model fusing the denoising autoencoder, used to better represent a dataset, and the Growing Hierarchical Self-Organising Map, used for organizing and projecting ...
- research-articleAugust 2023
The optimization of nodes clustering and multi-hop routing protocol using hierarchical chimp optimization for sustainable energy efficient underwater wireless sensor networks
AbstractThe design of underwater wireless sensor networks (UWSNs) faces many challenges, including power consumption, storage, battery life, and transmission bandwidth. UWSNs usually either use node clustering or multi-hop routing as their energy-...
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- research-articleJune 2023
A lightweight hierarchical key management approach for internet of things
Journal of Information Security and Applications (JISA), Volume 75, Issue Chttps://doi.org/10.1016/j.jisa.2023.103485AbstractInternet of Things (IoT) as an emerging technology connects a wide range of various elements that have a unique identifier to create an intelligent computing system. Given that most security mechanisms such as encryption and ...
- ArticleMay 2023
Designing Critical Systems Using Hierarchical STPA and Event-B
AbstractIn the design of critical systems, it is important to ensure a degree of formality so that we reason about safety and security at early stages of analysis and design, rather than detect problems later. Influenced by ideas from STPA we present a ...
- research-articleApril 2023
Introducing mirror-image discrimination capability to the TSR-based method for capturing stereo geometry and understanding hierarchical structure relationships of protein receptor family
- Titli Sarkar,
- Yuwu Chen,
- Yu Wang,
- Yixin Chen,
- Feng Chen,
- Camille R. Reaux,
- Laura E. Moore,
- Vijay Raghavan,
- Wu Xu
Computational Biology and Chemistry (COBC), Volume 103, Issue Chttps://doi.org/10.1016/j.compbiolchem.2023.107824AbstractWe have developed a Triangular Spatial Relationship (TSR)-based computational method for protein structure comparison and motif discovery that is both sequence and structure alignment-free. A protein 3D structure is modeled by all possible ...
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Highlights- Mirror-image discrimination capability is introduced into the Triangular Spatial Relationship (TSR)-based key generation formula to capture stereo geometry.
- Applying mirror images decreases structural similarity which can be partially ...
- research-articleMarch 2023
Hierarchical approach for fusion of electroencephalography and electromyography for predicting finger movements and kinematics using deep learning
Neurocomputing (NEUROC), Volume 527, Issue CPages 184–195https://doi.org/10.1016/j.neucom.2023.01.061AbstractThe brain is a unique organ that performs multiple processes simultaneously, such as sensory, motor, and cognitive function. However, several neurological diseases (ataxia, dystonia, Huntington’s disease) or trauma affect the limb ...
- ArticleMarch 2023
Public Key Encryption with Hierarchical Authorized Keyword Search
Information Security and Cryptology – ICISC 2022Pages 147–170https://doi.org/10.1007/978-3-031-29371-9_8AbstractPublic key encryption with keyword search (PEKS), which was introduced by Boneh et al. at EUROCRYPT’ 04, is a breakthrough approach to searching encrypted data under a public key setting. In this cryptographic primitive, senders can generate ...
- ArticleNovember 2022
Deep Learning Based Predictive Analytics for Decentralized Content Caching in Hierarchical Edge Networks
- Dhruba Chakraborty,
- Mahima Rabbi,
- Maisha Hossain,
- Saraf Noor Khaled,
- Maria Khanom Oishi,
- Md. Golam Rabiul Alam
Intelligent Data Engineering and Automated Learning – IDEAL 2022Pages 113–121https://doi.org/10.1007/978-3-031-21753-1_12AbstractThe content-centric network is a state-of-the-art networking architecture for content distribution and content caching. However, it is inefficient to cache every content in each network device. The modern edge computing technology opens the door ...
- research-articleNovember 2022
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems
AbstractA central issue addressed by the rapidly growing research area of eXplainable Artificial Intelligence (XAI) is to provide methods to give explanations for the behaviours of Machine Learning (ML) non-interpretable models after the ...
- research-articleApril 2023
An Adaptive Differential Evolution Algorithm with Hierarchical Mutation Strategy and Opposition Learning
ICITEE '22: Proceedings of the 5th International Conference on Information Technologies and Electrical EngineeringPages 24–34https://doi.org/10.1145/3582935.3582940In recent years, differential evolution algorithm (DE) has shown excellent performance in solving various optimization problems, therefore it has been extensively applied in many research and scientific fields. However,it's easy for DE to obtain the ...
- research-articleNovember 2022
Development and Analysis of Novel Mesh of Tree-based embedded FPGA
The Journal of Supercomputing (JSCO), Volume 78, Issue 16Pages 17689–17720https://doi.org/10.1007/s11227-022-04569-2AbstractThe eFPGA IPs are made up of logic components connected by a routing network. The target architecture is a key feature of eFPGA development. There have been two main families of architecture: matrix and hierarchical topologies. The mesh ...
- research-articleOctober 2022
HDFEF: A hierarchical and dynamic feature extraction framework for intrusion detection systems
AbstractNetwork intrusion detection plays a vital role in modern cyberspace security systems. Although deep learning has been widely used for automatic feature extraction in intrusion detection, capturing effective feature representations in ...
- ArticleSeptember 2022
Automatic Academic Paper Rating Based on Modularized Hierarchical Attention Network
Natural Language Processing and Chinese ComputingPages 669–681https://doi.org/10.1007/978-3-031-17120-8_52AbstractAutomatic academic paper rating (AAPR) remains a difficult but useful task to automatically predict whether to accept or reject a paper. Having found more task-specific structure features of academic papers, we present a modularized hierarchical ...
- research-articleOctober 2022
Generic Construction of (Hierarchical) Functional Pseudorandom Functions
CCRIS '22: Proceedings of the 2022 3rd International Conference on Control, Robotics and Intelligent SystemPages 171–175https://doi.org/10.1145/3562007.3562038Functional Pseudorandom (F-PRF) is a cryptography primitive which extends the standard Pseudorandom Function (PRF) to be functional, where for any function f, a functional key can be generated to compute the PRF F on x in the range of f. F-PRF can be ...
- ArticleJanuary 2023
Hierarchical Temporal DNN and Associative Knowledge Representation
AbstractThis paper proposes two models. The first one is designed bottom-up, i.e., mostly based on DL and Jeff Hawkins’ temporal principle. The second one tackles some aspects of intelligence, specifically concerning the thinking process. It is designed ...
- research-articleAugust 2022
Bar transformer: a hierarchical model for learning long-term structure and generating impressive pop music
Applied Intelligence (KLU-APIN), Volume 53, Issue 9Pages 10130–10148https://doi.org/10.1007/s10489-022-04049-3AbstractRecently many deep learning-based automatic music generation models have been proposed. How to generate long pieces of pop music with distinctive musical characteristics remains a challenging problem, as it relies heavily on musical structures. ...