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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
·USING YOLOV5 TO DETECT PLASTIC GREENHOUSES IN MOROCCO Mohamed Rabii Simoua Safia Loulada Zakaria Aamira Mehdi Maanana Machine learning ML is a type of artificial intelligence that by the collected data and using pre programmed rules the system can learn and develop on it erative basis Michie
·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
·where g t denotes the gradient at time step t of objective function m t and v t updates biased first moment estimate and second raw moment estimate of the gradients β 1 β 2 ∈ [0 1] presents exponential decay rates for the moment Good default settings for the tested machine learning problems are η = β 1 = β
DOI / Corpus ID 243771686; How machine learning is transforming the insurance sector case of fraud detection in Morocco article{Hamdoun2021HowML title={How machine learning is transforming the insurance sector case of fraud detection in Morocco} author={Nabila Hamdoun} journal={Int J
·1 Introduction Displacement of rock mass in underground mines is considered one of the most hazardous phenomena that can cause the collapse of the structures [1] as the excessive displacements lead to ground is challenging to evaluate the effect of rock mass displacement caused by the excavation of a tunnel or an
·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
·X ray machines are the most common airport scanners They are used to scan suitcases and other baggage to detect any forbidden items X ray machines use radiation to create an image of the contents of the bag allowing security personnel to identify any suspicious items Metal detectors are another type of airport scanner
·In this guide we ll explore some statistical techniques that are widely used for outlier detection and removal Why Should You Detect Outliers In the machine learning pipeline data cleaning and preprocessing is an important step as it helps you better understand the data During this step you deal with missing values detect outliers and
·Machine learning algorithms have a gained more interest in mineral detection and mapping nowadays Booysen et al 2022 employed a decision tree model with a multi scale hyperspectral imaging strategy to delineate lithium bearing minerals and their respective spatial patterns within pegmatite formations across three distinct scales
·The aim of this study was to detect plastic greenhouses using remote sensing data and the YOLOv5 CNN based object detection algorithm Deep learning discovers intricate structure in large data
·The new scanner system has the following capabilities and advantages a The information depth is sufficient to detect all regularly placed mines; b XBT is able to detect metal free landmines; c
·ing and machine learning techniques the proposed study showed some novel features in distinguishing metal mines from rock Metal mine detection methods Various mine detection techniques are already reviewed with particular emphasis on signal and image processing methods using sonar imagery Phung et al 2019 Based on the tar
·1 Mine Site Technologies Business Development Manager 2 Frederick Mining Controls Manager Mining Technologies Abstract Proximity Detection or Collision Avoidance has been a key focus of the Queensland mining industry and authorities over the past three years The paper discusses the technology and experience in both hard rock and
·Importance of outlier detection in machine learning Outlier detection is important in machine learning for several reasons Biased models Outliers can bias a machine learning model towards the outlier values leading to poor performance on the rest of the data This can be particularly problematic for algorithms that are sensitive to
·Identification of Earth s hidden treasures is becoming increasingly difficult owing to the continued depletion of easily accessible deposits and the social stigma surrounding mining activities
·In response to a request the Mine Safety and Health Administration MSHA is extending the comment period on the Agency s proposed rule on Proximity Detection Systems for Mobile Machines in Underground Mines This extension gives stakeholders additional time to evaluate the comments
·In classification studies over the last decade researchershave been frequently studying only those three machine learning algorithms RF CART and SVM applied oncities or countries except Morocco
·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
·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
PDF On Mar 31 2021 C N Naga Priya and others published Deep Learning Based Thermal Image Processing Approach for Detection of Buried Objects and Mines Find read and cite all the research
·Breast cancer BC is the most common cancer among women making it essential to have an accurate and dependable system for diagnosing benign or malignant tumors It is essential to detect this cancer early in order to inform subsequent treatments Currently fine needle aspiration FNA cytology and machine learning ML models can
·Compliance Many mining operations are subject to regulations that require the use of proximity detection systems in certain situations such as when operating large equipment or in areas where workers are present The implementation of Cohda Mining Locate Proximity Detection technology can help ensure compliance with regulations
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