Industry 5.0 represents a paradigm shift in manufacturing that extends the digital and automation capabilities of Industry 4.0 by placing human-centricity, sustainability, and resilience at the core of industrial development. This review examines the emerging integration of Industry 5.0 technologies with sustainable biocomposite materials as a pathway towards environmentally responsible and resilient manufacturing. Particular attention is given to bio-based polymer matrices and natural-fibre reinforcements, including flax, hemp, jute, bamboo, wood-derived materials, and Sida acuta, which offer opportunities for renewable resource utilization............

[1]. Alves, J., Lima, T. M. & Gaspar, P. D. Is Industry 5.0 a Human-Centred Approach? A Systematic Review. Processes 11, 193 (2023).
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[3]. Chew, K. W. & Ling, T. C. The Prospect of Industry 5.0 in Biomanufacturing. The Prospect of Industry 5.0 in Biomanufacturing (CRC Press, 2021). doi:10.1201/9781003080671.
[4]. Karabegović, I., Turmanidze, R. & Dašić, P. Robotics and Automation as a Foundation of the Fourth Industrial Revolution - Industry 4.0. in 128–136 (2020). doi:10.1007/978-3-030-40724-7_13.
[5]. Shabur, Md. A., Shahriar, A. & Ara, Mst. A. From automation to collaboration: exploring the impact of industry 5.0 on sustainable manufacturing. Discover Sustainability 6, 341 (2025).

Reliable target detection and classification remain central challenges in modern radar signal processing, particularly as radar systems are increasingly required to distinguish between genuine targets, clutter, and small or low-radar-cross-section objects such as drones. Conventional detection approaches, including constant false alarm rate (CFAR) and threshold-based methods, are well established but can struggle in cluttered or low signal-to-noise-ratio environments where target and clutter statistics overlap........

[1]. Cao, Z., Fang, W., Song, Y., He, L., Song, C., & Xu, Z. (2022). DNN-based peak sequence classification CFAR detection algorithm for high-resolution FMCW radar. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–15. https://doi.org/10.1109/TGRS.2021.3117068
[2]. Chakraborty, M., Kumawat, H. C., Dhavale, S. V., & Raj A, A. B. (2022). Application of DNN for radar micro-Doppler signature-based human suspicious activity recognition. Pattern Recognition Letters, 162, 1–6. https://doi.org/10.1016/j.patrec.2022.08.005
[3]. Coşkun, A., & Bilicz, S. (2023). Target classification using radar cross-section statistics of millimeter-wave scattering. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 42(5), 1197–1209. https://doi.org/10.1108/COMPEL-12-2022-0429
[4]. Coşkun, A., & Bilicz, S. (2024). Analysis of data-driven approaches for radar target classification. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 43(3), 507–518. https://doi.org/10.1108/COMPEL-11-2023-0576
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In today's digital world, people expect web applications to be easy to use, accessible, and inclusive for everyone. But traditional text-based interfaces can be limiting especially for individuals with hearing, speech, or physical challenges making it harder for them to interact with technology. To bridge this gap, speech-based interaction has become a powerful tool, allowing users to communicate naturally through spoken language. This project builds a web-based Speech-to-Text (STT) and Text-to-Speech (TTS) system to bridge communication gaps...........

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[3]. M. Stone and A. Smith, "Web-based speech recognition systems using browser APIs, vol. 14, no. 2, pp. 95–108, 2022.
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Solar-powered lighting systems provide a sustainable solution for outdoor and off-grid applications; however, their operating time is strongly affected by variations in solar energy availability and inefficient lighting control. This study presents the design and experimental validation of an Internet of Things-enabled solar lighting and monitoring system incorporating an energy-aware adaptive dimming strategy. The proposed control strategy determines the LED pulse-width modulation level based on ambient illuminance, motion detection, and battery state of charge...........

[1] F. Agramelal, M. Sadik, Y. Moubarak, and S. Abouzahir, "Smart Street Light Control: A Review on Methods, Innovations, and Extended Applications," Energies, vol. 16, no. 21, Art. no. 7415, 2023.
[2] G. Gagliardi, M. Lupia, G. Cario, F. Tedesco, F. Cicchello Gaccio, F. Lo Scudo, and A. Casavola, "Advanced Adaptive Street Lighting Systems for Smart Cities," Smart Cities, vol. 3, no. 4, pp. 1495-1512, 2020.
[3] G. Pasolini, P. Toppan, A. Toppan, R. Bandiera, M. Mirabella, F. Zabini, D. Bonata, and O. Andrisano, "Comprehensive Assessment of Context-Adaptive Street Lighting: Technical Aspects, Economic Insights, and Measurements from Large-Scale, Long-Term Implementations," Sensors, vol. 24, no. 18, Art. no. 5942, 2024.
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[5] S. Vadi, "Design and Implementation of an Off-Grid Smart Street Lighting System Using LoRaWAN and Hybrid Renewable Energy for Energy-Efficient Urban Infrastructure," Sensors, vol. 25, no. 17, Art. no. 5579, 2025.

The rapid development of the digital economy has changed the market competition from product quality and price to perceived consumer value. Therefore, Customer Relationship Management (CRM) is a crucial tool for company growth. The article outlines the basic principles of CRM and the significant positive impacts, such as enhancing customer satisfaction, strengthening loyalty, improving marketing efficiency, and enabling data-driven decision making..........

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This research paper is dedicated to the traditional residential architecture of Eastern China and the geo-cultural factors that shaped it. The focus is on dwellings that emerged in similar climatic conditions but developed into different structures built from the same set of elements. China is one of the world's oldest civilizations, and the traditions carried across centuries have shaped construction and design as a response to regional conditions. The research covers six provinces, Jiangsu, Zhejiang, Anhui, Jiangxi, Fujian, and Shandong, and three architectural styles that left a mark on them: Hui, Su, and Fujian..........

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