تلتزم الشركة دائمًا بمعدات سحق التعدين ومعدات صنع الرمل ومعدات الطحن الصناعية، وتوفير حلول عالية الجودة للرمل والحصى ومجموعات كاملة من المعدات للمشاريع الهندسية واسعة النطاق مثل الطرق السريعة والسكك الحديدية والمياه والكهرباء، إلخ. ، وتسعى جاهدة لممارسة التصنيع الدقيق المحلي والتخطيط العلمي العالمي، مع اعتبار آسيا المنطقة النائية والعملاء المشعين حول العالم. بعد أكثر من 30 عامًا من التطوير، نجحت العديد من منتجات الشركة في اجتياز العديد من شهادات الجودة الدولية مثل الشهادة الدولية ISO9001:2015، وشهادة الاتحاد الأوروبي CE، وشهادة GOST الروسية. بعد ذلك، في السعي لتحقيق التميز، سنستمر في استخدام منتجات عالية الجودة والتكنولوجيا الاحترافية والخدمات المخلصة لمساعدة العملاء على خلق قيمة أكبر، واستخدام الإجراءات العملية لمواصلة تعزيز البناء البيئي للحضارة الإنسانية.
·The large Unimark Island earthquake in 1946 caused a massive tsunami Image credit Public Domain A magnitude quake struck Unimak Island on April 1 1946
For more than 60 years Liebherr s range of products and services has been broad and sophisticated Its design and technology is orientated around
·Accurately mastering the distribution of rice cultivation has important implications for food subsidies and food security We used Google Earth Engine a remote sensing big data cloud computing platform and combined with multi source remote sensing imagery Sentinel Landsat to conduct experiments on large scale range rice classification
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·In this first episode of Focus Special Japan we discover how the Tsunami struck region of Tohoku has begun to recover five years after the
·The latest report from the International Commission of Human Rights Experts on Ethiopia documents atrocities perpetrated by all parties to the conflict since 3 November 2020 the start date of the armed conflict in Tigray including mass killings rape starvation destruction of schools and medical facilities forced displacement and arbitrary detention
Due to the large search space the large scale agile earth observation satellite mission planning problem AEOSMPP is a challenge to existing algorithms This paper proposes an end to end framework for solving the large scale AEOSMPP using reinforcement learning The framework combines graph pointer networks GPNs and independently recurrent neural networks
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2 ·The study is based on the widely accepted Lambda Cold Dark Matter standard model of cosmology which suggests that the universe s large scale structure emerged from quantum fluctuations during
DOI /978 981 99 1549 1 7 Corpus ID 259834360; A Reinforcement Learning Driven Bees Algorithm for Large Scale Earth Observation Satellite Scheduling inproceedings{Song2022ARB title={A Reinforcement Learning Driven Bees Algorithm for Large Scale Earth Observation Satellite Scheduling} author={Yanjie Song and Junwei Ou and
·Water Matters Europe s water is under increasing pressure Pollution droughts floods are taking their toll on our drinking water lakes rivers and coastlines
·In our updated model large scale patterns exhibit mostly EW oriented fast axis of anisotropy in western central and souteastern Anatolia Fig 2a which may be related to the westward
·DOI / Corpus ID 237361953; Towards Optimization for Large scale Earth Observation Missions from a Global Perspective article{Guo2021TowardsOF title={Towards Optimization for Large scale Earth Observation Missions from a Global Perspective} author={Yaning Guo and Jing Chen and Zili Meng and
2 ·Comparable to large scale neighbours Campo Grande is located adjacent to the ultra high grade rare earth discoveries made by Brazilian Rare Earths ASX BRE at Monte Alto Pele and Sulista
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Abstract Large scale low earth orbit LEO satellite constellation network LS LEOSCN has been developing very rapidly benefiting from the global coverage high throughput and low latency This paper focuses on the following two questions that is how to design a LS LEOSCN or optimize a given LS LEOSCN Three key metrics to evaluate the LS LEOSCN performance namely the
·In revealing the World Restoration Flagships the UN Decade seeks to honour the best examples of large scale and long term ecosystem restoration embodying the 10 Restoration Principles of the UN Decade on Ecosystem Restoration The UN Decade acknowledges the time needed for restoration efforts to deliver results
·Existing full text datasets of public domain newspapers do not recognize the often complex layouts of newspaper scans and as a result the digitized content scrambles texts from articles headlines captions advertisements and other layout regions OCR quality can also be low This study develops a novel deep learning pipeline for extracting full article texts
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