Results 111 to 120 of about 7,113 (299)
Significance-Driven Logic Compression for Energy Efficient Multiplier Design
Approximate Arithmetic is a new design paradigm that is being used in many applications which are tolerant to imprecision and do not require accurate results.
K M, Suchitha +3 more
core +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
Investigation into energy-efficient and approximate multiplier design [PDF]
PhD ThesisThere is a persistent demand for higher computational performance at low energy cost for emerging compute-intensive applications. Multipliers constitute a major component of these applications with complex logic design and a large gate count
Qiqieh, Issa Hani Rezq Allah
core
Applications of the theory of generalized Fourier transforms to Tikhonov problems
We define and study multiplier operators associated with the Sturm-Liouville operator involving a nonnegative function satisfying certain conditions.
Fethi Soltani, Akram Nemri
doaj +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Exploring Posit Multiplication: A Comprehensive Review of Booth and Logarithmic Mantissa Methods
The posit number system represents a significant advancement aimed at replacing the current IEEE floating-point standard in a seamless manner. With its notable dynamic range and gradually tapering precision, a smaller posit can closely match the ...
Thalla Narasimha Swetha +2 more
doaj +1 more source
Fault-Tolerant Approximate Circuits for Energy Autonomous Edge Computing Systems
The growing demand for real-time, AI-driven applications on resource-constrained, energy-autonomous edge devices necessitates a paradigm shift in circuit design.
Shubham Garg +3 more
doaj +1 more source
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley +1 more source
Novel XNOR-based approximate computing for energy-efficient image processors
Approximate computing, which has a trade-off between accuracy and performance, has emerged as a promising solution for energy-efficient designs in error-tolerant applications.
Kim, Sunghyun, Kim, Youngmin
core +1 more source

