Results 111 to 120 of about 2,962,240 (306)
The probabilistic-linguistic approach to the representation and transformation of the fuzzy information allows to show how to solve the problem of building types of numerous probabilistic-linguistic syndromes characterizing all possible technical ...
S. G. Danyluk +2 more
doaj
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
FUZZY ADAPTIVE CONTROL OF GRAIN COMBINE
The solution to the problem on the adaptive control of the motion path and combine tools loading based on fuzzy logic inference is considered. The problem formalization of the fuzzy combine control under the frequently changing operation conditions is ...
Dmitry Yakovlevich Parshin +1 more
doaj
"The chapters in this book represent the theme of "bridges" - bridging research approaches and directions across languages, methodologies and disciplines.
Linguistic Symposium on Romance Languages 2017 Newark, Delaware +1 more
core
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source
ON EXPERT INFORMATION FUZZIFICATION METHOD
The focal points of the fuzzif ication method under the fuzzy expert data processing for the logical deduction co nstruction in expert systems are considered. The model pattern of the method application is given.
Valery P. Dimitrov +2 more
doaj
Vector‐Based SparseGPT: A Vector‐Based Sparsity Method for Large Language Model
Conventional pruning such as SparseGPT produces harmful accumulated errors through step‐by‐step weight editing. V‐SparseGPT prunes and updates target weights simultaneously to curb these errors for N:M structured sparsity. Block‐sparsity and layer‐parallel sparsity greatly boost pruning efficiency.
Junfei He +3 more
wiley +1 more source
ON DEFUZZIFICATION METHOD IN FUZZY EXPERT INFORMATION PROCESSING
Some aspects of the defuzzification method in fuzzy expert information processing in the expert system for technological regulation of the machines are considered. An example of the method implementation is given in the article.
Valery P. DIMITROV +3 more
doaj
Clarke Transform: A Lingua Franca for Continuum Robotics
Using the Clarke transform, both robot‐dependent mappings are known exactly for kinematic models, leading to a complete chain of transformations between spaces with associated abstraction. This eases the derivation. Therefore, proposing the Clarke transform as a lingua franca and utilizing a practical fact sheet can pave the way for more systematic ...
Reinhard M. Grassmann, Sami Haddadin
wiley +1 more source

