Sum-rate maximisation comparison using incremental approaches with different constraints
, 2009 In this work, the problem of rate maximisation of multichannel systems is considered. Two greedy allocation approaches using power (GPA) and bit (GBA) loading schemes with a slight difference in design constraints that aiming to maximise the overall ...
Al-Hanafy, Waleed, Weiss, S.
core
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
AlgorithmsThe paper discusses a greedy algorithm that can be used to solve non-smooth optimization problems in which its objective function can be represented as a minimum of a compactly parameterized family of uniformly smooth functions.
Sergei Sidorov
doaj +1 more source
Influence Maximization Based Global Structural Properties: A Multi-Armed Bandit Approach
IEEE Access, 2019 The influence maximization problem is defined by identifying the seed set that has the most influence on other users in the network, which when selected, the cascading process reaches a large number of users.
Mohammed Alshahrani +4 more
doaj +1 more source
Greedy randomized dispatching heuristics for the single machine scheduling problem with quadratic earliness and tardiness penalties [PDF]
In this paper, we present greedy randomized dispatching heuristics for the single machine scheduling problem with quadratic earliness and tardiness costs, and no machine idle time. The several heuristic versions differ, on the one hand, on the strategies
Maria R. A. Moreira, Jorge M. S. Valente
core
Algorithm 1: Greedy partial cache content selection algorithm.
, 2013 Algorithm 1: Greedy partial cache content selection algorithm.
Han Wan (502172) +3 more
core +1 more source
A ranking model for the greedy algorithm and discrete convexity [PDF]
, 2012 Generalizing the idea of the Lovász extension of a set function and the discrete Choquet integral, we introduce a combinatorial model that allows us to define and analyze matroid-type greedy algorithms. The model is based on a real-valued function v on a
Faigle, U., Kern, Walter, Peis, Britta
core +1 more source
A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery
Advanced Robotics Research, EarlyView.A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma +4 more
wiley +1 more source
Adipocyte‐Derived Leptolin Enhances Energy Expenditure and Prevents Obesity
Advanced Science, EarlyView.We identified a novel adipokine, which we named leptolin. In humans, leptolin levels in white adipose tissue were positively correlated with exercise and negatively associated with body mass index. We observed elevated leptolin in serum from athletes and lower leptolin in serum from obese individuals.
Jiarui Liu +17 more
wiley +1 more source
Hybrid black widow optimization with iterated greedy algorithm for gene selection problems. [PDF]
Heliyon, 2023 Alweshah M +6 more
europepmc +1 more source