Zobrazeno 1 - 10
of 20 208
pro vyhledávání: '"Saeid, P."'
Autor:
Saeid, P., Rahmanian, Nejat
The current work’s main aims are to discuss and introduce the main aspects of geothermal wells and reservoirs, including well systems, heating, drilling, and completion. There are several systems and methods for extracting heat energy from undergro
Externí odkaz:
http://hdl.handle.net/10454/20003
Autor:
Saeid, P., Rahmanian, Nejat
Bio-energy availability, its potential and production, challenges, and opportunities in Europe are addressed in this chapter. In addition, a comprehensive comparison of different generations of biofuels, types of bioenergy resource availability for v
Externí odkaz:
http://hdl.handle.net/10454/20001
High luminosity colliders and fixed target facilities using proton beams are sensitive to new weakly coupled degrees of freedom across a broad mass range. Among the various production modes, bremsstrahlung is particularly important for dark sector de
Externí odkaz:
http://arxiv.org/abs/2409.09123
Autor:
Niazmardi, Saeid
Kernel-based classification methods, particularly the support vector machine (SVM), are among the most common algorithms for hyperspectral data classification. The Radial Basis function (RBF) kernel has earned great popularity in hyperspectral data c
Externí odkaz:
http://arxiv.org/abs/2409.05013
Existing benchmarks for large language models (LLMs) increasingly struggle to differentiate between top-performing models, underscoring the need for more challenging evaluation frameworks. We introduce MMLU-Pro+, an enhanced benchmark building upon M
Externí odkaz:
http://arxiv.org/abs/2409.02257
Large foundation models have revolutionized the field, yet challenges remain in optimizing multi-modal models for specialized visual tasks. We propose a novel, generalizable methodology to identify preferred image distributions for black-box Vision-L
Externí odkaz:
http://arxiv.org/abs/2409.02253
Minimum-fuel low-thrust trajectories typically consist of a finite, yet unknown number of switches in the thrust magnitude profile. This optimality-driven characteristic of minimum-fuel trajectories poses a challenge to the numerical methods that are
Externí odkaz:
http://arxiv.org/abs/2409.01490
Autor:
Izadshenas, Saeid, Słowik, Karolina
Two-photon absorption in molecules, of significance for high-resolution imaging applications, is typically characterised with low cross sections. To enhance the TPA signal, one effective approach exploits plasmonic enhancement. For this method to be
Externí odkaz:
http://arxiv.org/abs/2408.14859
Control laws derived from Control-Lyapunov Functions (CLFs) offer an efficient way for generating near-optimal many-revolution low-thrust trajectories. A common approach to constructing CLFs is to consider the family of quadratic functions using a di
Externí odkaz:
http://arxiv.org/abs/2408.14412
In computation-intensive domains such as digital signal processing, encryption, and neural networks, the performance of arithmetic units, including adders and multipliers, is pivotal. Conventional numerical systems often fall short of meeting the eff
Externí odkaz:
http://arxiv.org/abs/2408.05639