— Landslides are one of the most critical categories of natural disasters worldwide and induce severely destructive outcomes to human life and the overall economic system To reduce its negative effects landslides prevention has become an urgent task which includes investigating landslide related information and predicting potential
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— Thousands of images of mines and other munitions captured by the infrared camera will be fed into a machine learning program to improve the speed and accuracy of identification We can train the machine to recognize patterns so that we improve the probability of detection and at the same time reduce the false alarm rate
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— To use geodetic monitoring to detect mining subsidence reference points are established on the ground surface around the area of interest and are regularly measured using GPS GNSS or terrestrial surveying methods Functional and meta ensemble machine learning algorithms are used to evaluate the quality of susceptibility
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— Automation of machines in underground mines is a topic with increasing interest both for research and industrial applications Autonomous load haul dump LHD machines need to load material successfully before dumping it into a crusher or an ore pass
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— One of the most significant issues facing internet users nowadays is malware Polymorphic malware is a new type of malicious software that is more adaptable than previous generations of viruses Polymorphic malware constantly modifies its signature traits to avoid being identified by traditional signature based malware detection models
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— Infrastructure such as buildings bridges pavement etc needs to be examined periodically to maintain its reliability and structural health Visual signs of cracks and depressions indicate stress and wear and tear over time leading to failure/collapse if these cracks are located at critical locations such as in load bearing joints Manual
— detection of land use and land cover LULC changes focusing on urban sprawl and future predictions The performance of ve supervised machine learning algorithms for LULC classication in Larache City Morocco during 2015 2021 is evaluated addressing the research question of which algorithm best captures LULC changes
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For example GPR was used to analyze water and landslide risk after a mine closed in Brazil and to determine the probability of future disasters after a 2010 landslide in Poland In archaeology GPR can detect long buried evidence of past civilizations including buried structures underground tunnels military equipment and human remains
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The article determines the three level deviation correction equipment of mine conveyor belt The experimental results show that the mine conveyor belt deviation detection system based on machine vision can effectively detect the deviation fault and control the deviation correction equipment which has the advantages of high efficiency and fast processing
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Le dminage terrestre implique des oprations manuelles à haut risque Or à ce jour la dtection des mines à faible signature magntique reste incertaine Ce constat a pouss les experts de CAPACITÉS à imaginer un système indit de dtection multi capteurs associant robotique mobile et intelligence artificielle
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Underwater mining of minerals and rocks is a highly challenging task before the discovery of SONAR Sound Navigation and Ranging system Lately the mine detection process was performed by the divers trained in the disposal of hazardous ordnance marine mammals video cameras mounted on mine neutralization trucks and laser systems which leads to
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— The rising demand for raw materials such as rare earth elements and lithium makes the exploration and extraction of mineral deposits critical
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— Knowledge discovery in databases KDD and data mining are areas of common interest to researchers in machine learning pattern recognition statis tics artificial intelligence and high
— Metal detecting can be a fun hobby or it can be a task to be completed in deadly earnest—if the buried treasure you re searching for includes land mines and explosive remnants of war
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— Keywords— SONAR Underwater Object Classification Maritime Security Rock Detection Mines Detection Supervised machine learning Feature Selection Hyperparameter Tuning I INTRODUCTION Sonar technology stands as a cornerstone in maritime defense and navigation enabling the detection of underwater objects crucial for
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— To use geodetic monitoring to detect mining subsidence reference points are established on the ground surface around the area of interest and are regularly measured using GPS GNSS or terrestrial surveying methods Functional and meta ensemble machine learning algorithms are used to evaluate the quality of susceptibility
— detection of land use and land cover LULC changes focusing on urban sprawl and future predictions The performance of ve supervised machine learning algorithms for LULC classication in Larache City Morocco during 2015 2021 is evaluated addressing the research question of which algorithm best captures LULC changes
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The second detection is the anomaly detection which assumes malicious activity as any action that deviates from normal behavior The proposed paper presents an overview of various works being done on building an efficient IDS using single hybrid and ensemble machine learning ML classifiers evaluated using seven different datasets
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In modern naval warfare submarines play a vital role in strategic operations However submarines face a significant risk of encountering ocean mines which are lethal and can cause severe damage To mitigate this risk submarines are equipped with Sound Navigation and Ranging systems SONAR which uses active/passive SONAR to detect
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— The dataset contains 1170 side scan sonar images [3] collected using a 900 1800 kHz Marine Sonic dual frequency side scan sonar of a Teledyne Marine Gavia Autonomous Underwater Vehicle AUV [4] as illustrated in Fig the images were carefully analyzed and annotated including the image coordinates of the Bounding Box
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— This paper presents a pioneering study in the application of real time surface landmine detection using a combination of robotics and deep learning We introduce a novel system integrated within a demining robot capable of detecting landmines in real time with high recall Utilizing YOLOv8 models we leverage both optical imaging and
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