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AI-Enhanced Lung Cancer Prediction: A Hybrid Model's Precision Triumph

IEEE Journal of Biomedical and Health Informatics 2024年 PP卷 1-14页

作者： Kesiku, Cyrille Yetuyetu Garcia-Zapirain, Begonya University of Deusto Department of Computer Science Electronics and TelecommunicationsEngineering Faculty Bilbao Spain

Lung cancer is considered one of the most dangerous cancers, with a 5-year survival rate, ranking the disease among the top three deadliest cancers globally. Effectively combating lung cancer requires early detection for timely targeted interventions. However, ensuring early detection poses a major challenge, giving rise to innovative approaches. The emergence of artificial intelligence offers revolutionary solutions for predicting cancer. While marking a significant healthcare shift, the imperative to enhance artificial intelligence models remains a focus, particularly in precision medicine. This study introduces a hybrid deep learning model, incorporating Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory Networks (BiLSTM), designed for lung cancer detection from patients' medical notes. Comparative analysis with the MIMIC IV dataset reveals the model's superiority, achieving an MCC of 96.2% with an Accuracy of 98.1%, and outperforming LSTM and BioBERT with an MCC of 93.5 %, an accuracy of 97.0% and MCC of 95.5 with an accuracy of 98.0% respectively. Another comprehensive comparison was conducted with state-of-the-art results using the Yelp Review Polarity dataset. Remarkably, our model significantly outperforms the compared models, showcasing its superior performance and potential impact in the field. This research signifies a significant stride toward precise and early lung cancer detection, emphasizing the ongoing necessity for Artificial Intelligence model refinement in precision medicine. Authors

关键词： Lung cancer

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Impact of the chaotic semiconductor laser output power on time-delay-signature of chaos and random bit generation

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Chinese Physics B 2025年第3期34卷 325-330页

作者： Chenpeng Xue Xu Wang Likai Zheng Haoyu Zhang Yanhua Hong Zuxing Zhang College of Electronic and Optical Engineering and College of Flexible Electronics(Future Technology) Nanjing University of Posts and TelecommunicationsNanjing 210023China School of Computer Science and Engineering Bangor UniversityBangor LL571UTUK

We experimentally analyze the effect of the optical power on the time delay signature identification and the random bit generation in chaotic semiconductor laser with optical *** to the inevitable noise during the photoelectric detection and analog-digital conversion,the varying of output optical power would change the signal to noise ratio,then impact time delay signature identification and the random bit *** results show that,when the optical power is less than-14 dBm,with the decreasing of the optical power,the actual identified time delay signature degrades and the entropy of the chaotic signal ***,the extracted random bit sequence with lower optical power is more easily pass through the randomness testing.

关键词： chaos time delay signature entropy estimation random bit generation

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A selective update sensing approach for UAV-ISAC enabled relaying network

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ICT Express 2025年第3期11卷 481-485页

作者： Orikumhi, Igbafe Lee, Nakyung Bae, Jungsook Kim, Sunwoo Department Electronics and Computer Engineering Hanyang University Seoul South Korea Electronics and Telecommunications Research Institute South Korea

This paper proposes a selective sensing information update scheme for communication between a base station (BS) and multiple unmanned aerial vehicles (UAVs) in a relaying network. The UAVs, equipped with integrated sensing and communication (ISAC) capabilities, utilize environmental sensing measurements to facilitate communication in blockage-prone scenarios, such as disaster recovery and remote connectivity. Specifically, user parameters are estimated from the sensing measurements at the UAVs. Given the non-linear relationship between the sensing measurements and the communication parameters, we propose a two-stage design approach. In the first stage, the measurements are transformed into a range-and-angle-based model to determine the optimal beam between the UAVs and multiple mobile user equipment (UEs). In the second stage, a selective update mechanism, guided by a predictive rate criterion, is used to optimize the frequency of sensing information updates between the BS and the UAVs. Simulation results demonstrate the superiority of the proposed method and show an improvement in the system throughput compared to baseline schemes, while significantly reducing sensing overhead. © 2025 The Authors

关键词： 6G Amplify and forward relays Integrated sensing and communication (ISAC) Unmanned aerial vehicle

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Business Response Prediction based on Consumer Behaviour Patterns 9

Business Response Prediction based on Consumer Behaviour Pat...

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9th IEEE International Conference for Convergence in Technology, I2CT 2024

作者： Pokharkar, Vishwa Edgaonkar, Omkar Shinde, Aryajeet Nirmal, Nilesh Pune Institute of Computer Technology Electronics & Telecommunications Engineering Department Pune India

ISBN: (纸本)9798350394474

This survey paper presents a comprehensive analysis of predictive models for business response in the hospitality industry, focusing on cafes and restaurants. Leveraging data from Zomato, a popular restaurant aggregator platform, and supplemented with location data, we explore effective strategies for preprocessing and clustering based on key parameters, including location, cuisine, nearby institutions, parking, traffic, bestsellers, cost, ratings, delivery options, and establishment type (cloud kitchen/dine out). We investigate a variety of machine learning and statistical approaches tailored to distinct clusters of cafes and restaurants. Our evaluation involves training and testing models to predict business responses, considering varying customer foot traffic and preferences. The findings emphasize the importance of precise clustering and customized predictive models for improved accuracy in response forecasting. The insights derived from this survey are anticipated to significantly impact decision-making processes for businesses in the hospitality sector. © 2024 IEEE.

关键词： Forecasting

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A Weighted-Sensing Algorithm for UAV-ISAC Enabled Relaying in the Presence of Blockages 15

A Weighted-Sensing Algorithm for UAV-ISAC Enabled Relaying i...

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Orikumhi, Igbafe Lee, Nakyung Kim, Jun Woo Bae, Jungsook Kim, Sunwoo Hanyang University Department of Electronics and Computer Engineering Korea Republic of Electronics and Telecommunications Research Institute Korea Republic of

ISBN: (纸本)9798350364637

Integrated sensing and communication (ISAC) has been highlighted as a solution to the current spectrum congestion issues. However, sensing and communication from the base station (BS) may not be feasible in a blockage scenario. Hence, we propose a UAV relaying network with ISAC capabilities. In particular, we propose unmanned aerial vehicles (UAVs) to sense the users (UEs) and relay the sensed information to the BS while relaying communication signals from the BS to the UEs. To improve the communication between the BS and the UEs via the UAV relaying, a sensing-weighted algorithm is proposed to enhance sensing accuracy, maximize the achievable rate, and minimize the system outage performance by jointly designing the BS transmit beamforming and UAV amplification factor. The numerical results show the superiority of the proposed sensing-weighted algorithm over other conventional approaches. In addition, the results show improved sensing accuracy, improving the system throughput and outage performance. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Analysis of Coupling Coefficient Between Two UCA-OAM Antennas Based on Infinitesimal Dipole Modeling

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IEEE Antennas and Wireless Propagation Letters 2025年第6期24卷 1502-1506页

作者： Jeong, Jaehoon Jung, Bang Chul Kim, Young Dam Electronics and Telecommunications Research Institute Daejeon34129 Korea Republic of Department of Electrical and Computer Engineering Ajou University Suwon16499 Korea Republic of Department of Electronics Engineering Chungnam National University Daejeon34134 Korea Republic of

An infinitesimal dipole modeling (IDM)-based analysis method is proposed to calculate the coupling coefficient (CC) between two uniform circular array (UCA)-orbital angular momentum (OAM) antennas. The proposed method is demonstrated to be more accurate than the asymptotic expression while also being more computationally efficient compared to the method of moments (MoM)-based full-wave simulation. Moreover, the proposed method enables CC analysis between UCAs operating in different OAM modes or in the presence of misalignment. The proposed method can potentially be utilized to estimate channel coefficients electromagnetically and to design OAM communication systems. © 2002-2011 IEEE All rights reserved.

关键词： Angular momentum

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Designing a skilled soccer team for RoboCup: exploring skill-set-primitives through reinforcement learning

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Neural Computing and Applications 2025年 1-36页

作者： Abreu, Miguel Reis, Luís Paulo Lau, Nuno LIACC/LASI/FEUP Artificial Intelligence and Computer Science Laboratory Faculty of Engineering University of Porto Porto Portugal IEETA/LASI/DETI Institute of Electronics and Informatics Engineering of Aveiro Department of Electronics Telecommunications and Informatics University of Aveiro Aveiro Portugal

The RoboCup 3D soccer simulation league serves as a competitive platform for showcasing innovation in autonomous humanoid robot agents through simulated soccer matches. Our team, FC Portugal, developed a new codebase from scratch in Python after RoboCup 2021. The team’s performance relies on a set of skills centered around novel unifying primitives and a custom, symmetry-extended version of the proximal policy optimization algorithm. Our methods have been thoroughly tested in official RoboCup matches, where FC Portugal has won the last two main competitions, in 2022 and 2023. This paper presents our training framework, as well as a timeline of skills developed using our skill-set-primitives, which considerably improve the sample efficiency and stability of skills, and motivate seamless transitions. We start with a significantly fast Sprint-Kick developed in 2021 and progress to the most recent skill set, including a multi-purpose omnidirectional walk, a dribble with unprecedented ball control, a solid kick, and a push skill. The push addresses low-level collision scenarios and high-level strategies to increase ball possession. We address the resource-intensive nature of this task through an innovative multi-agent learning approach. Finally, we release the team’s codebase to the RoboCup community, providing other teams with a robust and modern foundation upon which they can build new features. © The Author(s) 2025.

关键词： Reinforcement learning

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Design of a Novel 1x4 Two-Dimensional Demultiplexer Based on Multicore Photonic Crystal Fiber

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International Journal of electronics and telecommunications 2023年第3期69卷 469-473页

作者： Harrat, Assia Ahlem Debbal, Mohammed Eddine Ouadah, Mohammed Chamse Department of Electronics and Telecommunications Faculty of Science and Technology University of Belhadj Bouchaib Algeria Department of Telecommunications Faculty of Electrical and Computer Engineering University of Mouloud Mammeri Algeria

This work suggests a brand-new 1*4 two-dimensional demultiplexer design based on multicore photonic crystal fiber. Numerical models show that the optical signals can be separated in a photonic crystal fiber construction using optical signals with wavelengths of 0.85, 1.1, 1.19, and 1.35 µm injected on the center core and separated into four cores. The innovative design switches different air-hole positions using pure silica layers throughout the length of the fiber to regulate the direction of light transmission between layers. Wavelength demultiplexers are essential parts of optical systemic communications. They serve as a data distributor and can use a single input to produce multiple outputs. The background material is frequently natural silica, and air holes can be found anywhere throughout the length of the fiber as the low-index components. The simulation results showed that after a 6 mm light propagation, the four-channel demux can start to demultiplex. © 2023 Polish Academy of Sciences. All rights reserved.

关键词： Light transmission

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An Application Layer Protocol for the Transmission of Hydrometeorological Data over LoRaWAN 8

An Application Layer Protocol for the Transmission of Hydrom...

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8th IEEE Ecuador Technical Chapters Meeting, ETCM 2024

作者： Salamea, Pedro Ulloa Siguencia, Jorge Veloz Astudillo-Salinas, Fabian Belesaca, Juan Diego Tello-Oquendo, Luis Alvear, Oscar Universidad de Cuenca Department of Electrical Engineering Electronics and Telecommunications Cuenca Ecuador Unach College of Engineering Electronics and Telecommunications Riobamba Ecuador Universidad de Cuenca Department of Computer Science Cuenca Ecuador

ISBN: (纸本)9798350391589

Wireless sensor networks (WSNs) have been increasingly deployed in hydrometeorological stations to enhance the collection and transmission of environmental data. LoRa-based Wireless Sensor Networks is a wireless communication protocol between nodes or sensors. This work proposes an application layer protocol, Variable Meteorological Transmission Protocol VMTPv2, for transmitting hydrometeorological data. The proposed protocol is based on the application layer level's VMTP version 1. Additionally, this work implements the VMTPv2 protocol explicitly designed to work on LoRaWAN using LoRa nodes and Gateway. The experimental results show that the proposed application protocol significantly reduces energy consumption in nodes by at least 30% and 90% in the Gateway compared to the Cayenne LPP and VMTPv1 protocols. © 2024 IEEE.

关键词： Network layers

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A Study on the Efficient ESS Charging/Discharging Operation Algorithm in LVDC Microgrid Environment

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Transactions of the Korean Institute of Electrical Engineers 2024年第6期73卷 1063-1073页

作者： Jung, Sang-Woo An, Yoon-Young Kim, Ki-Il Dept. of Computer Science and Engineering Chungnam National University Korea Republic of ICT Convergence Standards Research Division Electronics and Telecommunications Research Institute Korea Republic of

Modern power systems are developing in a sustainable and energy-efficient direction, and research on intelligent power grids that accommodate new and renewable energy is being actively conducted. Since new and renewable energy-based distributed power generation systems and ESS are output as DC power, the DC microgrid reduces the power conversion step and improves the stability and efficienc of the power distribution network. The core of this study is to compare and analyze the performance of the three charge/discharge operation algorithms based on AI prediction in the LVDC microgrid environment. The AI server learns real-time data through interworking with the EMS to predict future load usage and solar power generation, and performs the charge/discharge operation algorithm of ESS based on the collected ESS state data. This paper presents the configuration of the LVDC microgrid testbed, the integration method between EMS and electrical facilities, and analyzes the performance of the developed ESS charge/discharge operation algorithm. It also evaluates the effectiveness of each operation algorithm through actual operation data and simulation, analyzes how these strategies contribute to system load reduction and energy efficiency improvement, and provides guidelines for selecting the optimal ESS charge/discharge operation algorithm under specific conditions. © The Korean Institute of Electrical Engineers.

关键词： Solar energy

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