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Roman Rybka, Yury Davydov, Danila Vlasov, Alexey Serenko, Alexander Sboev and Vyacheslav Ilyin
Developing a spiking neural network architecture that could prospectively be trained on energy-efficient neuromorphic hardware to solve various data analysis tasks requires satisfying the limitations of prospective analog or digital hardware, i.e., local...
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Zhigang Ren, Shize Yang, Jiaji Zhang, Qiankun Wang, Shuqiang Gui, Junli Zhou, Yuyang Tang, Ke Zhu, Chuxiong Shen, Zhihua Xiong, Jinlong Sun, Xinpeng Qiu and Zhuo Chen
The discharge of warm water from water source heat pump (WSHP) energy stations can cause local changes in the water temperature, leading to changes in the water quality around and downstream of the discharge outlet, resulting in a cumulative effect that ...
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Suliman Ali Al-Khateeb, Faisal Ibrahim Zeineldin, Nagat Ahmed Elmulthum, Khalid Mohammed Al-Barrak, Muhammad Naeem Sattar, Tagelsir Ahmed Mohammad and Akbar S. Mohmand
Water scarcity has necessitated the adoption of water-saving techniques in both protected and non-protected farming. This study aimed to evaluate the performance of a water-saving soilless cultivation technique and compare it to conventional soil-based c...
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Jafar Jafari-Asl, Seyed Arman Hashemi Monfared and Soroush Abolfathi
This study investigates the optimal and safe operation of pumping stations in water distribution systems (WDSs) with the aim of reducing the environmental footprint of water conveyance processes. We introduced the nonlinear chaotic honey badger algorithm...
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Onesmo Zakaria Sigalla, Sekela Twisa, Nyemo Amos Chilagane, Mohamed Fadhili Mwabumba, Juma Rajabu Selemani and Patrick Valimba
Global croplands, pastures, and human settlements have expanded in recent decades. This is accompanied by large increases in energy, water, and fertilizer consumption, along with considerable losses of biodiversity. In sub-Saharan Africa, policies are im...
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