Results 121 to 130 of about 2,194 (292)
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Quantum dot spin cellular automata for realizing a quantum processor
We show how single quantum dots, each hosting a singlet–triplet qubit, can be placed in arrays to build a spin quantum cellular automaton. A fast (∼10 ns) deterministic coherent singlet–triplet filtering, as opposed to current incoherent tunneling/slow ...
Creffield, Charles E. +6 more
core +1 more source
Diatom‐Inspired 1D Immobile Robots Capable of 2D Collective Mobility
This study presents a diatom‐inspired robotic system that explores group coordination through limited physical interactions. The researchers tune groups of Barbots, simple robotic agents that possess neither individual mobility nor explicit communication capabilities, to achieve complex and adaptive collaboration based on environmental light.
Tianyi Hu +4 more
wiley +1 more source
A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films
A self‐driving laboratory accelerates the development of solution‐processed electrochromic thin films. By coupling machine learning with robotic fabrication and characterization, this closed‐loop platform systematically navigates complex processing parameters.
Selma Dahms +7 more
wiley +1 more source
Conservative logic gate for design of quantum dot cellular automata circuits
A novel conservative gate especially suiting a Quantum Dot Cellular Automata (QCA) majority voter-based design. The input-to-output mapping of the novel conservative QCA (CQCA) gate is: P=A; Q=AB+BC+AC [MV(A,B,C)]; R=A′B+A′C+BC [MV(A′,B,C)], where A, B ...
Thapliyal, Himanshu +1 more
core
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui +11 more
wiley +1 more source
Molecular QCA: a write-in system based on electric fields [PDF]
A. Pulimeno +10 more
core +1 more source
The temperature effect and defect study in quantum-dot cellular automata
Quantum-dot Cellular Automata (QCA) is a new paradigm for computation that utilizes polarization states instead of using current switching. It is being studied because of the realization of the quickly approaching limitation of the current CMOS ...
Barclay, Travis J.
core
Design and Implementation of Programmable Logic Array Using Quantum Dot Cellular Automata
Quantum Dot Cellular Automata (QCA) is an alternative to CMOS technology. The other technologies proposed by researchers are FINFET, CNTs and MTJ to reduce scalability of CMOS devices.
Ashwini Mane +2 more
core +1 more source

