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5th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2023

作者： Sadiq, Mohamed Abdul Karim Shanmugam, Thirumurugan Al-Fannah, Nasser Mohammed Kausar, Firdous College of Computing and Information Science University of Technology and Applied Sciences Suhar Oman Fisk University Department of Mathematics and Computer Science NashvilleTN United States

ISBN: (纸本)9798350323832

Named Entity Recognition in low resource languages such as Arabic is relatively less accurate. Despite this, many applications attempt query-document matching, which necessitates entity resolution. We explore certain possible solutions in this regard to enhance the matching process. A system is proposed to build a sub graph of terms in the Knowledge Graph. These terms specifically deal with skills in the Arabic documents related to the Human Resources domain. The accuracy measures of skills extraction using two different Language Models viz., SparkNLP and Hatmi are presented. The results are promising and have scope for improvement in entity resolution. © 2023 IEEE.

关键词： Knowledge graph

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A Comparative Analysis of SMS Spam Detection employing Machine Learning Methods 6

A Comparative Analysis of SMS Spam Detection employing Machi...

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6th International Conference on Computing Methodologies and Communication, ICCMC 2022

作者： Aliza, Humaira Yasmin Nagary, Kazi Aahala Ahmed, Eshtiak Puspita, Kazi Mumtahina Rimi, Khadiza Akter Khater, Ankit Faisal, Fahad Daffodil International University Department of Computer Science and Engineering Dhaka Bangladesh Tampere University Faculty of Information Technology and Communication Sciences Tampere Finland Jadavpur University Department of Computer Science and Engineering India

ISBN: (纸本)9781665410281

In recent times, the increment of mobile phone usage has resulted in a huge number of spam messages. Spammers continuously apply more and more new tricks that cause managing or preventing spam messages a challenging task. The aim of this study is to detect spam message to prevent different cybercrimes as spam messages have become a security threat nowadays. In this paper, studies on SMS spam problems to perform a better accuracy using several different techniques such as Support Vector Machine, K-Nearest Neighbor, Naïve Bayes, Random Forest, Logistic Regression and some more are performed. The result indicated that Support Vector Machine achieved the highest accuracy of 99%, indicating it might be useful as an effective machine learning system for future research. © 2022 IEEE.

关键词： Support vector machines

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MAVEN: Multi-modal Attention for Valence-Arousal Emotion Network

arXiv

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arXiv 2025年

作者： Ahire, Vrushank Shah, Kunal Khan, Mudasir Nazir Pakhale, Nikhil Sookha, Lownish Rai Ganaie, M.A. Dhall, Abhinav Department of Computer Science and Engineering Indian Institute of Technology Punjab Ropar India Faculty of Information Technology Monash University Melbourne Australia

—This paper introduces MAVEN (Multi-modal Attention for Valence-Arousal Emotion Network), a novel architecture for dynamic emotion recognition through dimensional modeling of affect. The model uniquely integrates visual, audio, and textual modalities via a bi-directional cross-modal attention mechanism with six distinct attention pathways, enabling comprehensive interactions between all modality pairs. Our proposed approach employs modality-specific encoders to extract rich feature representations from synchronized video frames, audio segments, and transcripts. The architecture’s novelty lies in its cross-modal enhancement strategy, where each modality representation is refined through weighted attention from other modalities, followed by self-attention refinement through modality-specific encoders. Rather than directly predicting valence-arousal values, MAVEN predicts emotions in a polar coordinate form, aligning with psychological models of the emotion circumplex. Experimental evaluation on the Aff-Wild2 dataset demonstrates the effectiveness of our approach, with performance measured using Concordance Correlation Coefficient (CCC). The multistage architecture demonstrates superior ability to capture the complex, nuanced nature of emotional expressions in conversational videos, advancing the state-of-the-art (SOTA) in continuous emotion recognition in-the-wild. Code can be found at: https://***/Vrushank-Ahire/MAVEN_8th_ABAW. © 2025, CC BY.

关键词： Emotion Recognition

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Examining Trusted Communication in Networked systems Through Cryptographic Security Algorithms

Examining Trusted Communication in Networked Systems Through...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Pandey, Vijay Kumar Jain, Nikita Raghavendra, R. Vivekananda Global University Department of Mechanical Engineering Jaipur India College of Engineering Teetthanker Mahaveer University Uttar Pradesh Moradabad India Department of Computer Science and Information Technology Bangalore India

ISBN: (纸本)9798350383348

This paper examines the concept of today's reliance on verbal exchange in networked structures through the usage of cryptographic safety algorithms. Community security has emerged as a trendy vital tool to defend confidential records and ensure the integrity of contemporary essential data and offerings. Cryptographic protection algorithms are extensively used to defend communications against malicious attacks, tampering, and eavesdropping. This paper provides a top-level view of modern best practices for shielding statistics via cryptographic algorithms and examines the contemporary cryptographically secure communique techniques. Furthermore, implementations of several ultra-modern popular cryptographic algorithms are discussed, which include AES, RSA, DH, and SHA-2. ultimately, the paper examines the blessings and disadvantages of today's cryptographic safety algorithms and how those algorithms can bolster the safety and trustworthiness of modern-day networked structures. Its technical abstract gives an exam on present-day cryptographic security algorithms to decorate the trustworthiness of state-of-the-art communique in a networked system. In particular, digital certificates and asymmetric encryption techniques are discussed as the two essential techniques for imposing cryptographic security in computer networks. This look explores using a proposed authentication protocol that mixes a digital certificate's authority and an asymmetric key pair for verifying the identity of trendy communicators in the network. Moreover, this paper addresses capacity security troubles that may get up when cryptographic safety algorithms are, in any other case, unprotected. The realization affords a precis state-of-the-art the take look at's fundamental findings. It gives standard pointers on maintaining the safety and trustworthiness of brand-new networked systems and conversations. © 2024 IEEE.

关键词： algorithms Community confidential Cryptographic integrity

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A Joint DOA and Range Estimation Technique for Underwater Transportation system based on Compressive Sensing

A Joint DOA and Range Estimation Technique for Underwater Tr...

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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Song, Hai-Yan Yang, Chang-Yi Zhang, Yu-Jie Tang, Jia-Xin Gao, Jia- Qi Heilongjiang Institute of Technology School of Electrical and Information Engineering Harbin China National Penghu University of Science and Technology Department of Computer Science and Information Engineering Magong Taiwan Petro China Tarim Oil Field Company Korla China

ISBN: (纸本)9798350324174

Obstacle detection can help human to reduce risk on underwater transportation activities. In our work, we use compressive sensing technique to estimate the Direction of Arrival (DOA) and range for spatial targets especially in underwater transportation system. According to underwater acoustic propagation ray theory, the signal model for horizontal L-Shaped array is first constructed. Then, the joint DOA and range estimation is converted into an optimizing procedure, which can be finally solved by an efficient toolbox for Disciplined Convex Programming (CVX). The performance of our proposed method is discussed in the computer simulation results. © 2023 IEEE.

关键词： Compressed sensing

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MetaSD: A Unified Framework for Scalable Downscaling of Meteorological Variables in Diverse Situations

arXiv

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arXiv 2024年

作者： Hu, Jing Zhang, Honghu Zheng, Peng Mu, Jialin Huang, Xiaomeng Wu, Xi Department of Computer Science Chengdu University of Information Technology Chengdu China Department of Earth System Science Tsinghua University Beijing China

Addressing complex meteorological processes at a fine spatial resolution requires substantial computational resources. To accelerate meteorological simulations, researchers have utilized neural networks to downscale meteorological variables from low-resolution simulations. Despite notable advancements, contemporary cutting-edge downscaling algorithms tailored to specific variables. Addressing meteorological variables in isolation overlooks their interconnectedness, leading to an incomplete understanding of atmospheric dynamics. Additionally, the laborious processes of data collection, annotation, and computational resources required for individual variable downscaling are significant hurdles. Given the limited versatility of existing models across different meteorological variables and their failure to account for inter-variable relationships, this paper proposes a unified downscaling approach leveraging meta-learning. This framework aims to facilitate the downscaling of diverse meteorological variables derived from various numerical models and spatiotemporal scales. Trained at variables consisted of temperature, wind, surface pressure and total precipitation from ERA5 and GFS, the proposed method can be extended to downscale convective precipitation, potential energy, height, humidity and ozone from CFS, S2S and CMIP6 at different spatiotemporal scales, which demonstrating its capability to capture the interconnections among diverse variables. Our approach represents the initial effort to create a generalized downscaling model. Experimental evidence demonstrates that the proposed model outperforms existing top downscaling methods in both quantitative and qualitative assessments. Copyright © 2024, The Authors. All rights reserved.

关键词： Potential energy

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An improved Bi-LSTM performance using Dt-WE for implicit aspect extraction

An improved Bi-LSTM performance using Dt-WE for implicit asp...

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2022 International Conference on Data science and Intelligent Computing, ICDSIC 2022

作者： Al-Janabi, Omar Mustafa Ibrahim, Mohammed K. Kanaan-Jebna, Abdulkarim Alyasiri, Osamah Mohammed Aleqabie, Hiba J. School of Computer Sciences Universiti Sains Malaysia Penang Malaysia Alnukhba University College Baghdad Iraq Universiti Tunku Abdul Rahman Faculty of Information and Communication Technology Perak Malaysia Al-Furat Al-Awsat Technical University Karbala Iraq Faculty of Computer Science and Information Technology Computer Science Department Karbala Iraq

ISBN: (纸本)9798350334883

In aspect-based sentiment analysis ABSA, implicit aspects extraction is a fine-grained task aim for extracting the hidden aspect in the in-context meaning of the online reviews. Previous methods have shown that handcrafted rules interpolated in neural network architecture are a promising method for this task. In this work, we reduced the needs for the crafted rules that wastefully must be articulated for the new training domains or text data, instead proposing a new architecture relied on the multi-label neural learning. The key idea is to attain the semantic regularities of the explicit and implicit aspects using vectors of word embeddings and interpolate that as a front layer in the Bidirectional Long Short-Term Memory Bi-LSTM. First, we trained the proposed domain-trained word embeddings (Dt-WE) model using explicit and implicit aspects. Second, interpolate Dt-WE model as a front layer in Bi-LSTM. Finally, extract implicit aspects by testing the trained architecture using the opinionated reviews that comprise multiple implicit aspects. Our model outperforms several of the current methods for implicit aspect extraction (Source Code). © 2022 IEEE.

关键词： Extraction

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A Framework for Cyber-Secure Monitoring and Safe Operation of Solar PV Microgrids

A Framework for Cyber-Secure Monitoring and Safe Operation o...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Kim, Jaewon Ilic, Marija Xie, Le Massachusetts Institute of Technology Laboratory for Information & Decision Systems CambridgeMA02139 United States Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science CambridgeMA02139 United States Texas A&m University Department of Electrical & Computer Engineering College StationTX77843 United States

ISBN: (纸本)9798350376067

In this paper, we introduce a systematic design of an end-to-end cyber-secure monitoring and safe operation framework for solar photovoltaic (PV)-rich microgrids, by focusing on the use of on-line attack detector for defending against potential cyber-physical attacks and sensor measurement data processing for operational safety. The proposed approach is based on: 1) identifying component models using their input and output measurements;2) dynamic watermarking (DW) methodology for on-line cyber-attack detection and its timing;and 3) an adaptive event-driven safe shutdown procedure after attack detection. It is shown how these three components interactive steps jointly to ensure safe operation under both normal operational scenarios and compromised operational scenarios with some malicious sensors caused by cyber-attacks on solar PV microgrids. Through this on-line integration, the proposed framework dynamically adapts to varying solar irradiance, load demands, operating conditions, and potential cyber-physical attacks. This forms a cyber-physical system which can pro-actively detect and mitigate potential cyber-physical attacks on solar PV microgrids. We describe its proof-of-concept implementation using real-world industrial solar farm data provided by the CenterPoint Energy. This study contributes to enhancing the cyber-security and safe operation of solar PVrich power systems, offering a scalable solution to other types of emerging renewable-rich energy distribution systems. © 2024 IEEE.

关键词： Cyber attacks

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Efficient Routing Protection Algorithm Based on Optimized Network Topology

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computers, Materials & Continua 2022年第9期72卷 4525-4540页

作者： Haijun Geng Zikun Jin Jiangyuan Yao Han Zhang Zhiguo Hu Bo Yang Yingije Guo Wei Wang Qidong Zhang Guoao Duan School of Computer and Information Technology Shanxi UniversityShanxi030006China School of Automation and Software Engineering Shanxi UniversityShanxi030006China School of Computer Science and Technology Hainan UniversityHaikou570228China Department of Computer Science&Technology Tsinghua UniversityBeijing100084China Department of Urban&Regional Planning San JoséState University San JoséCA95192USA Key Laboratory of Embedded System and Service Computing(Tongji University) Ministry of EducationShanghai201804China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu610054China Beijinng University of Technology Beijing-Dublin International CollegeBeijing University of TechnologyBeijing100124China

Network failures are unavoidable and occur *** the network fails,intra-domain routing protocols deploying on the Internet need to undergo a long convergence *** this period,a large number of messages are discarded,which results in a decline in the user experience and severely affects the quality of service of Internet Service Providers(ISP).Therefore,improving the availability of intra-domain routing is a trending research question to be *** usually employs routing protection algorithms to improve intra-domain routing ***,existing routing protection schemes compute as many backup paths as possible to reduce message loss due to network failures,which increases the cost of the network and impedes the methods deployed in *** address the issues,this study proposes an efficient routing protection algorithm based on optimized network topology(ERPBONT).ERPBONT adopts the optimized network topology to calculate a backup path with the minimum path coincidence degree with the shortest path for all source ***,the backup path with the minimum path coincidence with the shortest path is described as an integer programming *** the simulated annealing algorithm ERPBONT is used to find the optimal ***,the algorithm is tested on the simulated topology and the real *** experimental results show that ERPBONT effectively reduces the path coincidence between the shortest path and the backup path,and significantly improves the routing availability.

关键词： Routing protection algorithm network availability network failure shortest path backup path

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Outage Performance Analysis in Cognitive RIS-NOMA system under Imperfect CSI 3

Outage Performance Analysis in Cognitive RIS-NOMA System und...

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3rd IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2023

作者： Xue, K. Li, M. Chen, W. Han, Z. Yuan, H. Taiyuan University of Science and Technology School of Electronics Information Engineering China Tsinghua University Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Beijing China University of Houston Department of Electrical and Computer Engineering United States Kyung Hee University Department of Computer Science and Engineering Korea Republic of Kingston University School of Computer Science and Mathematics KT1 2EE United Kingdom

ISBN: (纸本)9798350333732

Cognitive non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) have been envisioned as two promising technologies for vehicle to everything (V2X) networks. This paper considers an RIS-aided V2X network with cognitive NOMA while considering the imperfect channel state information (CSI) due to the mobility of the vehicles. The new approximate outage probability (OP) expressions of the supposed system are derived over double Rayleigh fading channels. Numerical and Monte Carlo simulation results are presented to corroborate the analysis. The results demonstrated that imperfect CSI has a significant but different impact on the outage performance of the far and near users, which are also different under different numbers of reflecting units. © 2023 IEEE.

关键词： Monte Carlo methods

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