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4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024

作者： Warbhe, Mohan K. Verma, Prateek Faculty of Engineering and Technology Department of Computer Science and Design Sawangi Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Artificial Intelligence and Machine Learning Sawangi Maharashtra Wardha442001 India

ISBN: (纸本)9798331529635

In healthcare, Natural Language Processing (NLP) is a technique to improve clinical decision support, patient care, and medical research. By automating clinical recording, NLP enhances the calibre of medical records and professional communication. It makes Electronic Health Records (EHRs) easier to use by facilitating quick and easy data entry, retrieval, and access to vital patient data that helps with precise diagnosis and efficient treatment planning. Through the analysis of patient-specific data, NLP supports clinical decision support by delivering prompt recommendations. Chatbots and virtual assistants managing repetitive duties like booking appointments also improve patient connection. NLP makes it easier to analyse vast amounts of literature for medical research, facilitating the extraction and summary of important discoveries. Healthcare data processing requires text preparation, sentiment analysis, Named Entity Recognition (NER), semantic parsing, and Natural Language Generation (NLG). However, there are obstacles to overcome, like bias, ethical concerns, system integration, privacy, and data quality. The healthcare industry can use NLP to enhance patient outcomes, promote personalized medication, and streamline healthcare delivery by guaranteeing interoperability and setting standards. © 2024 IEEE.

关键词： Challenges of NLP in Healthcare Future treads of NLP for healthcare Healthcare NLP

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Vibration analysis of elastically supported sandwich beam with damaged core and functionally graded face sheets

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Steel and Composite Structures 2025年第1期54卷 71-83页

作者： Wang, Lulu Mohsin, Hasan F. Bains, Pardeep Singh Sharma, Rohit Bohlooli, Nasrin College of Mechanical and Electrical Engineering Guangdong University of Science and Technology Guangdong Dongguan523083 China Computer Techniques Engineering Department Faculty of Information Technology Imam Ja’afar Al-Sadiq University Baghdad10011 Iraq Computer Technical Engineering Department College of Technical Engineering The Islamic University Najaf54001 Iraq University Karnataka Bengaluru560069 India Department of Mechanical Engineering Vivekananda Global University Rajasthan Jaipur303012 India School of Engineering and Technology Shobhit University Uttar Pradesh Gangoh247341 India Department of Mechanical Engineering Arka Jain University Jharkhand Jamshedpur831001 India Nabi Data Science & Computational Intelligence Research Co. Tehran Iran

This paper presents the influence of carbon nanotubes (CNTs) waviness, aspect ratio and damaged core on the vibrational behavior of functionally graded nanocomposite sandwich beams resting on two-parameter elastic foundations. The distributions of CNTs are considered functionally graded (FG) or uniform along the thickness of upper and bottom layers of the sandwich beam and their mechanical properties are estimated by an extended rule of mixture. In this study, the classical theory concerning the mechanical efficiency of a matrix embedding finite length fibers has been modified by introducing the tube-to-tube random contact, which explicitly accounts for the progressive reduction of the tubes’ effective aspect ratio as the filler content increases. A damage model is introduced to provide an analytical description of an irreversible rheological process that causes the decay of the mechanical properties, in terms of engineering constants. An isotropic damage is considered for the core of the sandwich beams. The equations of motion are derived based on Timoshenko beam theory and employing Hamilton’s principle. The problem is modeled using a semi-analytical approach composed of generalized differential quadrature method (GDQM) and series solution adopted to solve the equations of motion. Detailed parametric studies are carried out to investigate the mechanical behavior of these multi-layered structures depending on the damage features, through-the-thickness distribution and boundary conditions. Also, the effects of carbon nanotubes (CNTs) waviness, CNT aspect ratio, Winkler foundation modulus, shear elastic foundation modulus and geometrical conditions on the vibrational behavior of the sandwich structure are studied. © 2025 Techno-Press, Ltd.

关键词： Aspect ratio

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Enhancing Algorithmic Trading Strategies with Sentiment Analysis: A Reinforcement Learning Approach 3

Enhancing Algorithmic Trading Strategies with Sentiment Anal...

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3rd IEEE World Conference on Applied Intelligence and Computing, AIC 2024

作者： Bharathi Mohan, G. Prasanna Kumar, R. Vifert Jenuben Daniel, V. Praghaadeesh, R. Maniappan, Varun Doss, Srinath Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Chennai India University Botswana Faculty of Engineering and Technology Botho Botswana

ISBN: (纸本)9798350384598

This paper discusses the application of deep reinforcement learning algorithms in stock trading, where the stock market environment is highly dynamic in nature. To represent the dynamics of the stock market, news headlines are a key factor in order to predict whether the market direction is bullish (upward) or bearish (downward). So we use different sentiment analysis models like Finbert and Roberta to see how the sentiment scores given by these models affect our trading agent's strategy. These sentiment scores are added to our custom trading environment, where we combine these scores as part of the state along with other parameters like open, high, low, close prices and trading *** for the reinforcement learning part, we used various policy gradient methods like Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Deep Q-Network (DQN) to train our agent in this custom environment. These models were then back-tested on historic data, where the trading strategies devised by these deep RL agents during the training phase were applied. The results provided by these models were very promising. The evaluation metrics used were the Sharpe score and Sortino score. The highest Sharpe ratio was given by the PPO agent, which was 3.0 for Facebook data and 2.834 for Goldman Sachs data, using the Roberta sentiment model. Whereas for the Finbert model, PPO got 3.24 for Facebook data and 3.03 for Goldman Sachs data. This explains that the trading portfolio is performing really well. © 2024 IEEE.

关键词： Deep reinforcement learning

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Artificial Intelligent Applications in Smart Cities 4

Artificial Intelligent Applications in Smart Cities

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4th IEEE International Conference on Smart Information Systems and Technologies, SIST 2024

作者： Caglayan, Ruhi Zafer Kayisli, Korhan Coteli, Resul Omirgaliyev, Ruslan Zhakiyev, Nurkhat Faculty of Engineering TED University Ankara Turkey Faculty of Engineering Gazi University Ankara Turkey Faculty of Technology Firat University Elazig Turkey Department of Computer Engineering Astana IT University Astana Kazakhstan Department of Science and Innovation Astana IT University Astana Kazakhstan

ISBN: (纸本)9798350374865

History shows us that people move towards a more stable lifestyle after undergoing significant changes. During these times, the way communities and buildings were designed started to change too. Different periods in history are known for their standout moments, each bringing its own set of needs and tech breakthroughs. Nowadays, tech keeps evolving. People nowadays aim for a more straightforward life, and technology has been shaping up to meet this need. We live in times highlighted by the rise of smart technology, like artificial intelligence and the Internet of Things, which not only make daily tasks easier but also transform how we think about our cities and personal spaces. This piece focuses on exploring the smart city idea, touching upon various associated subjects. As we delve into these areas, we'll also look at some important research related to them. © 2024 IEEE.

关键词： Artificial intelligence intelligence systems Internet of Things Smart City

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Enhancing Microgrid Energy Security Through Optimal Power Sharing in Multi-Modal Energy Storage Systems 4

Enhancing Microgrid Energy Security Through Optimal Power Sh...

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4th International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2025

作者： Anik, Shaikh Tawhidul Islam Mithil, Md Salman Khan Ahmad, Shameem Hazari, Md. Rifat Islam, Mahmoodul Ahmed, Tofael Parvez, Md. Shahariar Hassan, Mahamudul American International University-Bangladesh Faculty of Engineering Department of Electrical and Electronic Engineering Dhaka1229 Bangladesh Department of Electrical Engineering and Computer Science Rapid CitySD57701 United States Chittagong University of Engineering & Technology Department of Electrical and Electronic Engineering Chattogram4349 Bangladesh American International University-Bangladesh Faculty of Engineering Department of Industrial and Production Engineering Dhaka1229 Bangladesh

ISBN: (纸本)9798331530938

Microgrids (MGs), which combine distributed energy resources (DERs) with energy storage systems (ESS), offer improved energy security, reliability and sustainability by utilizing renewable energy sources for subsequent use. However, single ESS options often face challenges such as short life cycles, low power density etc. More than one ESS can resolve the mentioned issues though it increases complexity and maintaining stability becomes an issue. This paper proposes an effective energy management strategy between two ESS namely battery and supercapacitor to increase energy security in MG. The proposed strategy is designed in such a way that one of the two ESS stays connected all the time to the DC bus to ensure uninterruptable power supply to loads. Due to the use of DC bus, the system complexity decreases as there is no need to control frequency. Two cases were considered to verify the performance of the proposed energy management strategy in Matlab/Simulink. In the first case, during the unavailability of supercapacitor, the battery supplies 50 W to the load in addition to PV whereas supercapacitor supplies 136 W in the absence of battery along with PV. Furthermore, it was shown that the absence of PV has no negative effect in terms of power flow by ESS to meet load demand. © 2025 IEEE.

关键词： Energy security Energy Storage Systems Microgrid Power sharing Supercapacitor

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Arduino-Based Real-Time Obstacle Detection in Vehicles Using Proximity Sensors

Arduino-Based Real-Time Obstacle Detection in Vehicles Using...

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2023 International Conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2023

作者： Gupta, Meenu Kumar, Rakesh Das, Sunaina Sharma, Rohan Obaid, Ahmed J. Chandigarh University Department of Computer Science & Engineering Punjab India University of Kufa Faculty of Computer Science and Mathematics Najaf Iraq Al-Ayen University Technical Engineering College Department of Computer Technical Engineering Thi-Qar Iraq

ISBN: (纸本)9798350344387

Vehicle collision is currently one of the major problems for fatal traffic accidents where people lose their lives. To avoid this issue, intelligent vehicles pay more attention to people. The current anti-collision vehicles are lacking with the black path follower, and it is a high risk of loss of human lives. To overcome these challenges, an Arduino-based anti-collision device is suggested to reduce the count of accidents to avoid head-to-back vehicle collisions. Nowadays, one of the evolving technologies in the automotive sector is detecting obstacles using anti-collision vehicle systems. In the automobile sector, an anti-collision system is a safety system that automatically prevents collision among cars and objects. In this work, a microcontroller-based automated car anti-collision system is proposed. The proposed system is skilled at spotting obstacles using a precise distance sensor, alerting the driver when a collision is imminent, and automatically applying the brakes via an actuator, when necessary, without the driver's assistance. The proposed system will automatically stop the vehicle in case the driver avoids the collision as the system monitors the vehicle's condition continuously. This system can safeguard drivers from mishaps and lower accidental death rates because it is user-friendly and adaptable. This mechanism can be used in any automobile vehicle as it's a prudent system. © 2023 IEEE.

关键词： Accident Anti-collision Arduino Obstacle Detection Proximity Sensors Risk Ultrasonic Sensor Cars Vehicle

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Prioritizing TWAS Genetic Biomarkers for Melanoma Metastasis via Gene Expression Profiling

Prioritizing TWAS Genetic Biomarkers for Melanoma Metastasis...

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2023 IEEE EMBS Special Topic Conference on Data science and engineering in Healthcare, Medicine and Biology, IEEECONF 2023

作者： Saad, Mohamed N. Medhat, Belal Hamed, Mohamed Minia University Faculty of Engineering Biomedical Engineering Department Egypt Rostock Germany German University in Cairo Faculty of Media Engineering and Technology Computer Science and Engineering Department Egypt German University in Cairo Faculty of Media Engineering and Technology Egypt

ISBN: (纸本)9798350383386

The development of novel therapeutic approaches that target gene alterations in melanoma cells remains an area of active research. This study prioritized ten genes out of 76 genes - associated with melanoma through a transcriptome-wide association study (TWAS). We investigated the potential of the identified ten genes in prognosis of metastasis in melanoma *** Relevance: Our findings have clinical implications for melanoma treatment strategies. Targeted therapies that specifically address the dysregulation of our 10 genes may hold promise in preventing or slowing melanoma metastasis. © 2023 IEEE.

关键词： Oncology

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The importance of ITIL4 adoption for IT service management in insurance companies 46

The importance of ITIL4 adoption for IT service management i...

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46th ICT and Electronics Convention, MIPRO 2023

作者： Hasibovic, Ajla Cerimagic Tanovic, Anel Granulo, Aida University of Sarajevo Faculty of Electrical Engineering Department of Computer Science Sarajevo Bosnia and Herzegovina

ISBN: (纸本)9789532331042

In post pandemic era where companies already adopted digital agendas in their everyday business, conservative businesses as insurance companies must intensify activities in creating new values and use of the potential innovations. Insurance companies have to follow new age users, developments in society and new economic laws with new demands for insurers. As ITIL4 describes an operating model for the delivery of tech-enabled products and services, the importance of its adoption significantly increases. The way this adoption helps insurance companies is described in this paper. Trends in IT operations, such as agile approach are also considered. © 2023 MIPRO Croatian Society.

关键词： Insurance

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Secure and Optimized Cloud Storage with Privacy Preservation using Improved SHA - 256 2

Secure and Optimized Cloud Storage with Privacy Preservation...

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2nd International Conference on Computational Intelligence, Communication Technology and Networking, CICTN 2025

作者： Joshi, Aditi Devarajan, Ganesh Gopal Karuppiah, Marimuthu Sharma, Yogesh Kumar Department of Computer Science and Engineering SRM Institute of Science and Technology Delhi NCR Campus Uttar Pradesh Ghaziabad201204 India Department of Computer Science and Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Delhi NCR Campus Uttar Pradesh Ghaziabad201204 India Presidency School of Computer Science and Engineering Presidency University Karnataka Bengaluru560064 India Department of CSE Dewan V S Institute of Technology U.P Meerut India

ISBN: (纸本)9798331530389

With the increased reliance of enterprises on cloud storage solutions for data management, maintaining safe and efficient storage while emphasizing privacy protection is crucial. With an emphasis on user privacy, this study examines the methods, tools, and difficulties currently involved in attaining safe and effective cloud storage. It looks at access control protocols, encryption techniques like SHA-256, and new technologies that are intended to improve the security and effectiveness of cloud storage systems. The study also addresses the changing trends influencing the security of cloud storage in the future and emphasizes the significance of adhering to privacy laws. © 2025 IEEE.

关键词： Cloud storage

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Performance Evaluation and Analysis of Deep Learning Autoencoder-Based Wireless Communication System 3

Performance Evaluation and Analysis of Deep Learning Autoenc...

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3rd IEEE International Conference on Electronic engineering, ICEEM 2023

作者： Ismail, Eman Ali, Abdelhay Aly, Omar A. M. Abo-Zahhad, Mohammed Assuit University Faculty of Engineering Department of Electrical Engineering Assuit Egypt Egypt-Japan University of Science and Technology Faculty of Electronics Communications and Computer Engineering Department of Electronics and Communications Engineering Alexandra Egypt

ISBN: (纸本)9798350323511

Recent advancements in deep learning have led to the emergence of autoencoder-based (AE) wireless communication systems, presenting a promising approach to tackle the challenges posed by conventional mathematical models. In this research, a thorough evaluation and analysis of the performance of deep learning AE-based wireless communication systems is conducted. Specifically, our investigation focuses on employing the additive white Gaussian noise (AWGN) channel and explores the impact of varying signal-to-noise ratio (SNR) conditions during the AE training process on system performance. The results show that training the autoencoder under diverse SNR conditions, particularly with an extended number of epochs, surpasses the performance of a fixed-trained autoencoder regarding block error rate (BLER). Additionally, a comparison of BLER between multiple AE models and traditional mathematical representations used in communication systems is conducted. The obtained findings indicate that deep learning AE-based wireless communication systems exhibit promising performance compared to conventional models, underscoring their potential as an effective solution for wireless communication systems. © 2023 IEEE.

关键词： Signal to noise ratio

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