In fact, many architectures and implementations have been proposed in this context, which can cause issues in scalability and interoperability. Thus, the principal aim of this paper is to define a conventional IoT architecture that can be used for precision agriculture.Lechqar, K...
gold, and silver nanoparticles, have recently been used in the development of sensors [5,6,7]. Biosensors designed based on nanoscale materials are often called nanobiosensors. These nanotechnology-based biosensors can be broadly classified into four types, namely, the electrochemical [8,9,10,11],...
Even as memory capabilities rise to meet AI demands, so too will expectations, Ober added, since the exponential growth of AI complexity has been consistent. “The more knowledge you can codify, the more stuff it can do.” Training a network is essentially codifying information, and it’s no...
Yuri Dublyansky4, Philippe Audra5, Victor Polyak6, Yemane Asmerom6 & László Palcsu1 Alteration of conventional carbonate stable isotopes (δ18O, δ13C) in cave walls has been shown to be a useful tool to identify cave formation driven by deep-seated processes, i.e., ...
There are several indications that elevated IOP mechanically strains TM cells (e.g, via stretching ECM), which perturbs Ca2+ homeostasis and restructures the architecture of the ECM/cytoskeleton: (a) mechanical s(wetrintehdssoptirhnimeclriaenra-ys1eo,spb[erCnaada2y+nk]giTlnMei1ng1 l)aaniu...
is exclusively focused on power conversion and vertically integrated: from silicon to system. It sells its products to the power systems market, including enterprise and high-performance computing (HPC), industrial equipment and automation, telecommunications and network infrastructure, vehicles and transpor...
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We have downloaded around 544 research papers, out of which we have selected only 116 based on our interests.Results We identified different challenges in healthcare IoT applications as security and privacy, scalability, high cost, energy efficiency, quality of service, network architecture, mobility...
In an example where a data-driven approach was applied to predict tool wear in machine tools using a gated recurrent neural network (GRNN) architecture, including long short-term memory (LSTM), the method demonstrated a stronger capability to capture long-term dependencies compared to conventional ...
Enhancing the overall system architecture by minimising energy conversions and incorporating direct utilisation of renewable energy helps mitigate these inefficiencies [95]. Hybrid systems are generally engineered for certain desalination capacities and may provide difficulties in scaling. Modular system designs...