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(2022) Implementation of faster region-based convolutional neural network for waste type classification. ![]() (2022) Image recognition for garbage classification based on transfer learning and model fusion. (2022) Applying a deep residual network coupling with transfer learning for recyclable waste sorting. (2022) Household solid waste management practices and perceptions among residents in the East Coast of Malaysia. Iqbal S, Naz T, Naseem M (2021) Challenges and opportunities linked with waste management under global perspective: a mini review. Int J Environ Res Public Health 16: 1060. doi: 10.1109/GUCON50781.2021.9573586įerronato N, Torretta V (2019) Waste mismanagement in developing countries: a review of global issues. 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), 1–5. Mridha K, Shaw RN, Ghosh A (2021) Intelligent based waste management awareness developed by transfer learning. 2014 Systems and Information Engineering Design Symposium (SIEDS), 183–187. (2014) Evaluation of waste reduction and diversion as alternatives to landfill disposal. ![]() 2019 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), 1–6. ![]() Muawad SAT, Omara AAM (2019) Waste to energy as an alternative energy source and waste management solution. Īnkaram S (2019) Reuse and recycling: An approach for sustainable waste management, Re-Use and Recycling of Materials: Solid Waste Management and Water Treatment, Abingdon: Routledge, 3–13. Engineering Education in a New World Order, IEEE, 101–104. Proceedings Frontiers in Education Twenty-First Annual Conference. (2018) What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050, Washington DC: World Bank. ![]() Whether it’s work or my side hustles or my personal life, I have 1 million tasks to do and they just end up becoming lists of undone items because I have always told myself that I can never find the time to do these things. We’d love to help.Īmazing Web App NEEDS Robust Mobile Version Questions or issues? Contact our support team at. Mobile app is available to all trial users and subscribers. Motion has the most accurate algorithm in the world to plan your perfect day. With Motion, your AI executive assistant, you no longer: See smart notifications for to-do items Used by 1M+ busy professionals and teams to: Motion uses automation and AI to intelligently plan your day, schedule meetings, and build the perfect to-do list. Ranked #1 fastest-growing product by Amplitude's Product Report. executive assistant for task and calendar management. Please visit for account and subscription-related questions.Īn A.I. ![]() We do not encourage users without a computer to download this mobile app. Certain settings can only be adjusted on the web/desktop version. ![]() Motion is best used on a computer this mobile app is a companion to our web/desktop app and is not a standalone app. ![]() ![]() Ignoring numpy: markers 'python_version = "3.6"' don't match your environment Ignoring Cython: markers 'python_version = "3.9"' don't match your environment Ignoring numpy: markers 'python_version = "3.7"' don't match your environment $ source tensorflow-metal-test/bin/activateĪll of my excitement of having M1 is gone.having hard time to install tensor flowĮRROR: Command errored out with exit status 1:Ĭommand: /Users/tensorflow-metal-test/bin/python /private/var/folders/8s/t8kzlftn5x5c2mw37dd7lbs00000gn/T/pip-standalone-pip-j863mk96/ env_pip.zip/pip install -ignore-installed -no-user -prefix /private/var/folders/8s/t8kzlftn5x5c2mw37dd7lbs00000gn/T/pip-build-env-xlyfg9ik/normal -no-warn-script-location -no-binary :none: -only-binary :none: -i - 'numpy=1.14.5 python_version = "3.7"' 'Cython>=0.29 python_version = "3.9"' 'numpy=1.12 python_version = "3.6"' 'numpy=1.17.5 python_version = "3.8"' 'Cython>=0.29.14 python_version >= "3.8"' pkgconfig I was able to install tensorflow-macos and tensrflow-metal on intel based iMac $ python3 -m venv tensorflow-metal-test ![]() BIM-compliant planning and attribution is simplified.Ĭivil engineers will particularly benefit from the time-saving new developments for the automatic detailing of reinforcement. Powerful improvements in visualizations and animations as well as real-time synchronization with Lumion enable convincing and successful presentations of concepts. Highlights for architects include accelerated processing of site survey and point cloud data for renovation projects, faster modeling of complex openings, and real-time BIM collaboration between Allplan and Solibri. Engineers and construction companies can build directly on the architect's design and use it as a basis for statics and construction, building services, prefabrication and construction.Īllplan supports workflows throughout the entire process, from the initial idea to the finished project, thus enabling time, cost and material savings. The possibility of coordinating different materials and construction methods in a common model enables architects to better consider the economical and sustainable use of building materials earlier and taking environmental regulations into account. ![]() As a multi-material solution, Allplan covers everything: from masonry, in-situ concrete to steel and timber construction and, for the first time, precast concrete parts. Allplan 2024 is the connecting platform for interdisciplinary collaboration between architects, engineers, precast manufacturers and construction companies, bringing numerous innovations and improvements. |
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