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Conference Site: IEEE i-COSTE 2025

Optimization and Performance Evaluation of Semi-Transparent Photovoltaic Panels for Sustainable Urban Energy Solutions

Solar energy integration in the future of rooftops, windows, and interiors of glass as urban areas grow, and the need to provide power rises. Building-integrated photovoltaics (BIPV) is a new concept, where semi-transparent solar cells can turn glass facades into power plants without compromising comfort, daylight, or styling. This recent generation of solar technological solutions can solve the problem of sustainable energy production. The current work investigates the impact of transparency levels on energy generation by modeling the optical and electrical responses of ST-PSCs using finite-difference time-domain (FDTD) and SCAPs-1D software. Additionally, the study is devoted to performance assessment in the building-integrated environment and offers an optimized design architecture to be implemented in practice. The simulation outcomes show that decent efficiencies of 16.41% can be acquired with moderate transparency of 31.7% which sheds light on the significance of ST-PSCs in vertical and urban designs. The paper uses cell design software to simulate and optimize these semi-transparent panels. The findings highlight the feasibility of using semi-transparent solar panels as an optimal solution that addresses land scarcity, energy efficiency, and urban energy needs, providing valuable insights for the future integration of renewable energy systems in urban infrastructure and agriculture.

MLA-Net: Attention-Driven MobileNet–LSTM Framework for Robust Alzheimer’s Disease Detection from MRI Data

Md Abbas Mahmud Suzon: Data analysis, Software, Methodology, Validation, Writing – original draft. Md Habibur Rahman: Conceptualization, Methodology, Software, Validation, Writing – reviewing, editing, and Supervision. Md Imran Hasan: Data curation, Validation, Writing –review and editing. Md. Shohanur Rahman Shohan: helped in the preparation of the tables and figures. Md. Robiul Hoque: Review and Editing, Md Aktaruzzaman: Review and Editing, Md. Farukuzzaman Khan: Review and Editing.

Eco Pad: From Roots to Relief

Menstrual hygiene is really a concerning issue and using commercial sanitary napkins during this period not only effects on maintaining hygiene but also effects our environment. We tried to innovate one more available waste in pads to make it biodegradable and also cost effective so that the feminine can learn about menstrual hygiene and use this pad which is affordable for them and the feminine of Bangladesh and India who thinks its a matter of shy as the pad will not be biodegradable(commercially sells);this biodegradable pads will remove their concern as the aerial root and bamboo is available in this country.

Multilocation sequential navigation for autonomous mobile robots based on IR-UWB ranging

Traditional AMR navigation methods require prior mapping or the setup of a coordinate system for interested space, which can impose significant overhead.
We propose and implement an autonomous mobile robot (AMR) navigation system based on impulse radio ultra-wideband (IR-UWB), which relies solely on IR-UWB ranging between IR-UWB terminals mounted on the AMR and those placed at designated locations. Additionally, we incorporate transmit power control (TPC) to mitigate multipath effects and apply a moving average filter to smooth route fluctuation. We implement the navigation system using this approach and validate its effectiveness through experimental measurements.

Modelling Moisture Recycling in the Sudd Wetland Using WAM-2layers for Sustainable Water Resource Management and Climate Resilience

This research provides the first detailed quantification of atmospheric moisture recycling in the Sudd Wetland, a globally significant yet understudied hydrological system. By integrating ERA5 reanalysis with the WAM-2layers model, it reveals the wetland’s substantial role in sustaining regional precipitation and its vulnerability to climate and land-use changes. The methodology offers a transferable framework for assessing land-atmosphere feedbacks in data-scarce regions, directly supporting sustainable water management, climate resilience planning, and transboundary governance in the Nile Basin and beyond.

Ecofiji Explorer: An App to Promote Eco-Tourism and Local Culture Through Digitalization

The paper contributes both theoretically (by linking ICT with sustainable tourism in a Pacific Island context) and practically (by developing and testing a real app prototype that empowers local communities and promotes eco-tourism).

Bula Patrol: A Comprehensive Monitoring System for Addressing Taxi Driver Vulnerabilities in Fiji

The research clearly presents the critical issues faced by taxi drivers in Fiji, outlines the proposed solution (the Smart Taxi Monitoring System), and highlights the potential benefits of implementing this system. It succinctly conveys the urgency of the problem and the innovative approach taken to address it, making it relevant to stakeholders in transportation safety, technology, and public policy.
Additionally, the emphasis on real-time monitoring and predictive analytics demonstrates a forward-thinking solution that aligns with current trends in technology and safety management. This combination of practical implications and technological advancement makes the content suitable for a broader audience interested in industry improvements and public safety.

Knowledge-Defined Networking-Enabled IoT Communication Framework for Resilient Smart Grid Protection

The paper proposes a KDN-enabled IoT framework for resilient smart grid protection, integrating AI/ML-based anomaly detection, predictive fault recovery, and adaptive routing within a three-plane architecture. Simulations and testbed results show notable gains over baseline SDN—25.2% lower latency, 4.5% higher PDR, 43.8% faster recovery, 7.7% better attack detection, and 15.6% lower energy use—demonstrating a scalable, secure, and efficient smart grid communication solution.

Knowledge-Defined Networking-Enabled IoT Communication Framework for Resilient Smart Grid Protection

The paper proposes a KDN-enabled IoT framework for resilient smart grid protection, integrating AI/ML-based anomaly detection, predictive fault recovery, and adaptive routing within a three-plane architecture. Simulations and testbed results show notable gains over baseline SDN—25.2% lower latency, 4.5% higher PDR, 43.8% faster recovery, 7.7% better attack detection, and 15.6% lower energy use—demonstrating a scalable, secure, and efficient smart grid communication solution.

Mixed-Integer Linear Programming for Supply Chain Network Design, Evaluating Upstream–Downstream Sustainability Impacts

A key contribution of this study is the formulation of a holistic mathematical model that simultaneously considers upstream sites selection, transportation routing, and vehicle choice, and evaluates their combined effects on downstream sustainability outcomes. The model employs a general sustainability index that can captures the specific sustainability priorities of the enterprise.