computing systemsMoore s lawperformance of systemspower reliabilityparallelismOver the last decades, we have witnessed an exponential increase in sequential computing performance, but since few years this progr
Computing Trends and Emerging Technologies ✓ ✓ ✓ ✓ ✓ ✓ Computational Methodologies: Parallel vs. Sequential Computing ✓ Traits of Computing Focus/ Paradigms ✓ ✓ Technologies/ Impact Areas ✓ Trends/ Observations ✓ Impact and Performance Criteria Performance Metrics ✓ Efficienc...
Over the last decades, we have witnessed an exponential increase in sequential computing performance, but since few years this progress is slowing down. This paper describes the current evolutions in technology and architecture that cause this slowdown, and lists the major research challenges that need...
VideosDeepfake videos might involve sophisticated voice cloning with synchronised facial expressions (Tyagi and Yadav2023; Mittal et al.2023). So, the complexities and variation of these techniques can be more evident in videos because of the inclusion of movement, audio, and sequential editing. Alth...
Recurrent Neural Network (RNN): RNN is specifically designed to handle sequential data by preserving an internal state, enabling the network to remember information from prior inputs. The network takes a sequence of inputs, one at a time, and updates its internal state based on the current inp...
The other type of supervised DL is recurrent neural network (RNN) models, which are designed for sequential time-series data where the output is returned to the input, as shown in Fig.2C [27]. RNN-based models are widely used to memorize the previous inputs and handle the sequential data...
Neurocomputing 415, 295–316 (2020). This paper reviews the common techniques used for parameter optimization in machine learning, some of which can be used in omics benchmarking for optimizing parameters of the assessed tools. Article Google Scholar Bischl, B. et al. Hyperparameter ...
IP-based network. The rise of business computing being interconnected started influencing home networking. Networks became more interconnected and persistent. Dial-up technologies and ISDN peaked and started a downward trend in light of always-on cable-based technologies to the home. Different routing ...
Yang X, Li YH, Li TR (2023) A review of sequential three-way decision and multi-granularity learning. Int J Approx Reason 152:414–433 Article MathSciNet Google Scholar Yao YY (2008). Granular computing: Past, present and future. In 2008 IEEE International Conference on Granular Computing...
But such a strategy only applies to certain 2D materials with high rigidity such as In2Se382, InSe and Bi2Se364, which experience intense mechanical strain during intercalation, leading to a sequential process of bending, fracture, and detachment from the bulk crystals. As a result, underlying...