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Author: search.filters.author.Jalloh, AmiduStart date: 2020

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    Predictive Analytics for Flood Detection in Sierra Leone: A Proposed IoT and Machine Learning System Design
    (European Organization for Nuclear Research, 2026-08-12) Jalloh, Amidu
    This paper presents a proposed system design combining low-cost Internet of Things (IoT) sensors and a Long Short-Term Memory (LSTM) machine learning model for flood early warning in Sierra Leone. The design uses an ultrasonic water-level sensor connected through a NodeMCU ESP32 microcontroller to a cloud dashboard and data log, paired with an LSTM model trained on national rainfall data to forecast flood risk ahead of time. The paper describes the proposed hardware and software architecture, the dataset and preprocessing approach, and the plan for field testing and evaluation. It is a system design and pre-deployment evaluation plan; it does not report field-tested results.
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    A Low-Cost Relay-Based Short Circuit Detector for Electrical and Electronic Safety
    (European Organization for Nuclear Research, 2026-08-13) Jalloh, Amidu; Jalloh, Amidu
    This paper describes the design, construction, and testing of a low-cost, relay-based short circuit detector built from common electronic components. The device connects to a circuit under test and gives an immediate visual and audible signal, a green LED for a healthy circuit and a red LED with a buzzer for a short circuit, so faults can be identified without specialized training or equipment. The paper covers the circuit's operating principle, component selection, and printed circuit board layout, and reports bench tests in which the device reliably distinguished short-circuit from fault-free conditions.