Results 81 to 90 of about 151,138 (245)
Abstract Interpretation for Probabilistic Termination of Biological Systems
In a previous paper the authors applied the Abstract Interpretation approach for approximating the probabilistic semantics of biological systems, modeled specifically using the Chemical Ground Form calculus.
Francesca Levi +2 more
core +2 more sources
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Application of Markov Model to Estimate Individual Condition Parameters for Transformers
This paper presents a study to estimate individual condition parameters of the transformer population based on Markov Model (MM). The condition parameters under study were hydrogen (H2), methane (CH4), acetylene (C2H2), ethylene (C2H4), ethane (C2H6 ...
Amran Mohd Selva +6 more
doaj +1 more source
Objectives Among advanced multiple myeloma (MM) patients, B-cell maturation antigen (BCMA) specific targets like Belantamab Mafodotin (belamaf) and CAR T-cell therapies have been shown to improve clinical outcomes, but at significant costs.
Kandice A. Kapinos +4 more
doaj +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
ABSTRACT Mantle cell lymphoma (MCL) is a B‐cell malignancy with a chronically relapsing clinical course and pronounced genetic heterogeneity. To investigate the clonal dynamics underlying early disease relapse, we performed single‐cell RNA sequencing of paired tumor samples collected at diagnosis and at first relapse. Inference of copy number variants (
Dmitry Manakov +14 more
wiley +1 more source
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Background Health economic evaluations of interventions in infectious disease are commonly based on the predictions of ordinary differential equation (ODE) systems or Markov models (MMs).
Katrin Haeussler +2 more
doaj +1 more source
Objective This study aimed to investigate the mechanisms of immune dysregulation in a pediatric patient with monogenic lupus driven by IKZF1 haploinsufficiency. Methods Peripheral immune cells from a patient with IKZF1 haploinsufficiency, patients with lupus with no currently known genetic mutations, and healthy controls were analyzed using single‐cell
Qi Zheng +6 more
wiley +1 more source
Trigonometric words ranking model for spam message classification
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source

