Search
Search Results
-
Optimizing classification efficiency with machine learning techniques for pattern matching
The study proposes a novel model for DNA sequence classification that combines machine learning methods and a pattern-matching algorithm. This model...
-
A new fast technique for pattern matching in biological sequences
At numerous phases of the computational process, pattern matching is essential. It enables users to search for specific DNA subsequences or DNA...
-
Impacts of climate-resilient push–pull technology on farmers’ income in selected counties in Kenya and Tanzania: propensity score matching approach
BackgroundAgricultural research and technology adoption play a key role in improving productivity and therefore generate impact on household...
-
Same but Different: Providing a Probabilistic Foundation for the Feature-Matching Approach to Similarity and Categorization
The feature-matching approach pioneered by Amos Tversky remains a groundwork for psychological models of similarity and categorization but is rarely...
-
Diffeomorphic matching with multiscale kernels based on sparse parameterization for cross-view target detection
We present a novel, robust target detection method to locate a target from a reference image (UAV image) according to a target image (remote sensing...
-
One-loop matching for quark dipole operators in a gradient-flow scheme
The quark chromoelectric dipole (qCEDM) operator is a CP-violating operator describing, at hadronic energies, beyond-the-standard-model contributions...
-
Method for Calculating a Thermal-Expansion-Induced Mechanical Stress in Three-Dimensional Solid-State Structures Using Mathematical Modeling
AbstractAt the end of the 20th century, the demand for more efficient methods for solving large, sparse, unstructured linear systems of equations...
-
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control
Learned sparse retrieval (LSR) is a family of neural methods that encode queries and documents into sparse lexical vectors that can be indexed and...
-
Spatially resolved proteomics via tissue expansion
Spatially resolved proteomics is an emerging approach for map** proteome heterogeneity of biological samples, however, it remains technically...
-
Feature Matching Method Based on Improved SIFT and KLT
Feature extraction and matching are important aspects of monocular vision and key steps for autonomous flight of unmanned aerial vehicles. To address...
-
UnseenSignalTFG: a signal-level expansion method for unseen acoustic data based on transfer learning
This study introduces a transfer learning-based approach for signal-level expansion of unseen acoustic signal data, aiming to address the scarcity of...
-
Fermions in boundary conformal field theory: crossing symmetry and E-expansion
We use the equations of motion in combination with crossing symmetry to constrain the properties of interacting fermionic boundary conformal field...
-
Uncertainty aversion predicts the neural expansion of semantic representations
Correctly identifying the meaning of a stimulus requires activating the appropriate semantic representation among many alternatives. One way to...
-
Visual object tracking via adaptive deep feature matching and overlap maximization
Visual object tracking using deep features has achieved great success, particularly when object appearances change in the presence of illumination...
-
Forecasting and managing urban futures: machine learning models and optimization of urban expansion
This paper presents a novel method for predicting and controlling urban growth by combining convolutional neural networks (CNN) with Spider Monkey...
-
MatchFormer: Interleaving Attention in Transformers for Feature Matching
Local feature matching is a computationally intensive task at the subpixel level. While detector-based methods coupled with feature descriptors...
-
An Efficient S-Band Doherty Power Amplifier Using Multi-state Integrated Matching
This paper proposes a 3.2–3.8-GHz Doherty power amplifier with simultaneous harmonic control, dual impedance matching, and wideband operation using a...
-
Backward Pattern Matching on Elastic-Degenerate Strings
The concept of elastic-degenerate strings (EDS) was introduced as a way of representing a sequenced population of the same species. Several online...
-
Improved biharmonic kernel signature for 3D non-rigid shape matching and retrieval
Object retrieval, in particular 3D shape retrieval, recently has many applications such as molecular biology, medical research and computer-aided...
-
Effects of upper arch expansion using clear aligners on different stride and torque: a three-dimensional finite element analysis
BackgroundDuring maxillary arch expansion with a clear aligner (CA), buccal tip** of the posterior teeth often occurs, resulting in an...
