Emotion recognition based on electroencephalogram (EEG) signals has become an important research field in recent years due to its application in human-computer interaction. Feature fusion is the solution strategy in m...
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Vehicle retrieval has become crucial for public transportation and intelligent transportation systems due to the exponential development of large-scale transportation videos. Vehicle re-identification and vehicle trac...
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This paper considers the constrained longest common subsequence problem with an arbitrary set of input strings and an arbitrary set of pattern strings as input. The problem has applications, for example, in computatio...
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In order to quickly and accurately identify the gas infrared spectral components, a relatively new research result, the extended residual network (DA-ResNet12), is introduced. The gas infrared spectral data measured u...
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Although the traditional volume rendering ray casting algorithm has become one of the mainstream methods of medical image three-dimensional (3D) reconstruction, the 3D image quality and rendering speed still can not m...
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This document introduces the 1st international Virtual conference on Visual pattern Extraction and recognition for Cultural Heritage Understanding (VIPERC 2022), a premier forum for presenting the state-of-the-art, ne...
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The current single-target trackers cannot detect the categories of the targets, and multi-object trackers have low performances due to the missed and false detections. Most of these trackers do not have the capabiliti...
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Existing identity authentication techniques are primarily based on passwords or physical characteristics and are therefore prone to theft and forgery. This can lead to potential security risks for identity recognition...
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The proceedings contain 56 papers. The special focus in this conference is on Mobile Radio Communications and 5G Networks. The topics include: Predictive Analysis of Air Pollutants Using Machine Learning;Machine Learn...
ISBN:
(纸本)9789811979811
The proceedings contain 56 papers. The special focus in this conference is on Mobile Radio Communications and 5G Networks. The topics include: Predictive Analysis of Air Pollutants Using Machine Learning;Machine Learning Techniques Applied of Land Use—Land Cover (LULC) Image Classification: Research Avenues Challenges with Issues;crime Analysis Using Computer Vision Approach with Machine Learning;natural Language Processing Implementation for Sentiment Analysis on Tweets;VLSI Implementation of BCH Encoder with Triple DES Encryption for Baseband Transceiver;design and Implementation of Image De-hazing Using Histogram Equalization;Improved Hybrid Unified Power Flow Controller Using Fractional Order PID Controlled Systems;Optimized Activation Function-Based SAR Ship Detection;framework for Implementation of Smart Driver Assistance System Using Augmented Reality;Power-Efficient Hardware Design of ECC Algorithm on High Performance FPGA;A Creative Domain of Blockchain Application: NFTs;sign Language recognition Using Machine Learning;an IoT-Based Health Monitoring System for Stress Detection in Human Beings;ioT-Based Driving pattern Analysis and Engine Sensor Damage Prediction Using Onboard Diagnostics;Solving the Element Detecting Problem in Graphs via Quantum Walk Search Algorithm (QWSA);critical Analysis of Secure Strategies Against Threats on Cloud Platform;pareto Optimal Solution for Fully Fuzzy Bi-criteria Multi-index Bulk Transportation Problem;automatic Candidature Selection by Artificial Natural Language Processing;elimination and Restoring Deduplicated Storage for Multilevel Integrated Approach with Cost Estimation;vulnerability Assessment of Cryptocurrency Wallet and Exchange Websites;greedy Theory Using Improved Performance Prim’s Algorithm, Big Bang Speedup of the Bellman–Ford Algorithm;performance Analysis of High-Speed Optical Communication Systems Under the Impact of Four Wave Mixing.
Sequence matching in genomics can be approached by quantum computing through Grover's algorithm offering a quadratic speed-up versus the fastest classical algorithms. Previous research using quantum computing focu...
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ISBN:
(数字)9781665491136
ISBN:
(纸本)9781665491136
Sequence matching in genomics can be approached by quantum computing through Grover's algorithm offering a quadratic speed-up versus the fastest classical algorithms. Previous research using quantum computing focused on long DNA sequences, but application to complex RNA secondary structures with hairpin, bulge, ring, and stem forms has not been possible. This paper developed new formulations for RNA structures using quantum patternrecognition and quantum Hamming distance on Grover's framework by extracting linear regions from the complex forms. To best leverage the quantum speedup, methods are developed to create long sequences by concatenating different linearized parts of the complex RNA structures. The mechanism is simulated on IBM's Qiskit quantum simulator using RNA examples from GenBank and mirBase. Comparisons of the iteration complexity indeed shows the potential for quadratic speedups from quantum computing versus classical. Simulation results also show that search accuracy is very good when using the quantum patternrecognition method.
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