The dry production design is adopted, but the production line is equipped with environmental protection devices such as dust removal and silencer, which effectively reduce pollution such as dust and noise, fully comply with national environmental protection standards, easily pass environmental impact assessment standards, and achieve both economic and environmental benefits.
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The 200-ton granite crushing and sand making production line solution adopts the overall operating principle of "more crushing and less grinding", and has the characteristics of high efficiency and good finished products.
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On site, only the road surface requires leveling and compacting to establish working conditions, eliminating the necessity for cement foundation leveling and hardening. This significantly reduces the project's construction material costs.
The iron ore is evenly fed by TSW1139 feeder into HJ98 high-efficiency jaw crusher for coarse crushing. After that, the materials would be sent into CS160 cone crusher for secondary crushing.
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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
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A Machine Learning based project that using the Logistic Regression algorithm to predict from a sub marine using sonar whether an object in the sea is a rock or a mine set out by the enemies Sonar is a device that uses sound waves to detect objects komenAnna/Sonar rock vs Mine Prediction A Machine Learning based project that using
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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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Social Network Analysis and Mining In today s digitalized era Online Social Networking platforms are growing to be a vital aspect of each individual s daily life Dawoud A Ali RS Alwan A 2020 Bot detection using machine learning algorithms on social media platforms In CITISIA 2020—IEEE conference on innovative technologies in
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— Request PDF Multispectral UAV data for detection of weeds in a citrus farm using machine learning and Google Earth Engine Case study of Morocco Accurate and timely weed mapping between and
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We use a combination of methods and tools to detect and destroy landmines cluster bombs and other unexploded weapons including manual deminers machinery and mine detection dogs The approach used varies depending on a number of factors including terrain vegetation and the level and type of contamination This is careful and painstaking work
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— CMR has significantly expanded its mining portfolio by acquiring 26 exploration permits in central Morocco through the acquisition of Hesperis Resources a Moroccan company The permits prospective for copper antimony tungsten lead zinc and gold are expected to expand CMR s exposure to critical metals and minerals essential for
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— The Minelab CTX 3030 is one of the most popular metal detectors on the market and it s easy to see why This versatile detector can be used for a variety of purposes from gold prospecting to relic It s packed with features including a multi language menu automatic ground balance and a durable waterproof design that make it
— A landmine detection system should be able to detect mines regardless of the type of explosives used since mines are made of a variety of explosive materials Mines come in a variety of shapes and in various types of casings and therefore a detection system should be either insensitive to the geometrical shape of the mine and the type of
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— 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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Cyber attacks pose increasing challenges in precisely detecting intrusions risking data confidentiality integrity and availability This review paper presents recent IDS taxonomy a comprehensive review of intrusion detection techniques and commonly used datasets for evaluation It discusses evasion techniques employed by attackers and the challenges in
— 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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— Optimisation of Machine Learning Based Data Mining Methods for Network Intrusion Detection Authors Mingxiao Li Ziqing Li Chenlong Liu Wanqi Chen Chaojie Ma Authors Info & Claims BDSIC 24 Proceedings of the 2024 6th International Conference on Big data Service and Intelligent Computation
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— 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
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Plan Maroc Mines 2021 2030 Le Plan Maroc Mines PMM 2021 2030 qui constitue une actualisation de la stratgie de dveloppement du secteur minier national a capitalis sur les acquis accomplis dans le cadre de la stratgie 2013 et a apport les ajustements ncessaires et appropris en tenant compte des impratifs conjoncturels et de
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— Breast cancer is a common cause of female mortality in developing countries Early detection and treatment are crucial for successful outcomes Breast cancer develops from breast cells and is considered a leading cause of death in women This disease is classified into two subtypes invasive ductal carcinoma IDC and ductal
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— AGENCY Mine Safety and Health Administration Labor ACTION Proposed rule; extension of comment period SUMMARY 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
— 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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Cyber attacks pose increasing challenges in precisely detecting intrusions risking data confidentiality integrity and availability This review paper presents recent IDS taxonomy a comprehensive review of intrusion detection techniques and commonly used datasets for evaluation It discusses evasion techniques employed by attackers and the challenges in
— 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
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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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— 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
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— 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
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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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— The detection of minerals mines or rocks would have been extremely difficult without the expansion of the Sound Navigation Ranging methodology which uses specific parameters to determine if a barrier or a surface is a mine or rock Systematic review of machine learning applications in mining exploration exploitation and
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Cyber attacks pose increasing challenges in precisely detecting intrusions risking data confidentiality integrity and availability This review paper presents recent IDS taxonomy a comprehensive review of intrusion detection techniques and commonly used datasets for evaluation It discusses evasion techniques employed by attackers and the challenges in
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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
We provide customers with a variety of high-quality crushing equipment, sand making equipment, mobile crushers, and optimize the combination of various models of equipment to meet different process requirements.
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