Results 121 to 130 of about 65,747 (262)
ABSTRACT Domestication involves huge phenotypic shifts via strong directional selection. The resulting changes, often termed the Domestication Syndrome, typically encompass numerous traits; however, the most universal of these are changes in reduced fear of humans (tameness) and brain composition.
Carlos Guerrero‐Bosagna+7 more
wiley +1 more source
Bottom up Fuzzy Parsers: Fuzzy Simple LR, Fuzzy Canonical LR and Fuzzy LALR Parsers for Parsing Natural language [PDF]
Suvarna G. Kanakaraddi+1 more
openalex +1 more source
ABSTRACT Disentangling the drivers of genomic divergence during speciation is essential to our broader understanding of the generation of biological diversity. Genetic changes accumulate at variable rates across the genome as populations diverge, leading to heterogenous landscapes of genetic differentiation.
Drew R. Schield+5 more
wiley +1 more source
Excavator 3D pose estimation from point cloud with self‐supervised deep learning
Abstract Pose estimation of excavators is a fundamental yet challenging task with significant implications for intelligent construction. Traditional methods based on cameras or sensors are often limited by their ability to perceive spatial structures. To address this, 3D light detection and ranging has emerged as a promising paradigm for excavator pose
Mingyu Zhang+5 more
wiley +1 more source
Abstract Although using a heavy vehicle at a consistent speed is a common method to estimate displacement influence lines or displacement influence surfaces (DILs/DISs) of vehicular bridges, it requires algorithms to separate the dynamic and static components from measured displacements.
Miaomin Wang+6 more
wiley +1 more source
A multibranch and multiattention framework for floor plan segmentation
Abstract Automated floor plan analysis is crucial in architecture, urban planning, and interior design. Floor plan segmentation is a foundational step for tasks such as surface area estimation and 3D building reconstruction. Unlike vector‐based approaches, our method operates directly on raster images, enabling it to process diverse and real‐world ...
Axel De Nardin+4 more
wiley +1 more source
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing
Ohad Rubin, Jonathan Berant
openalex +2 more sources
Linguistic and computational advantages of bidirectional bottom-up parsing with top-down predictions
This paper compares two parsing strategies: bidirectional bottom-up parsing with top-down predictions (BBP) and standard chart parsing. We demonstrate that BBP is superior to classical chart parsers from a linguistic and computational points of view. The efficiency of BBP results from two factors: first, top-down predictions bring about
Quesada Moreno, José Francisco+1 more
openaire +2 more sources
Abstract Deep excavation projects are inherently fraught with significant risks due to complex geological conditions, intricate construction processes, and uncertain surrounding environments. This study proposes a novel digital twin‐driven framework that integrates the physical excavation process with a virtual digital model to enable prompt and closed‐
Xiong Wang, Yue Pan, Jin‐Jian Chen
wiley +1 more source
A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing [PDF]
Vanessa Wei Feng, Graeme Hirst
openalex +1 more source