Search
Now showing items 1-10 of 35
3D path planning method for multi-UAVs inspired by grey wolf algorithms
(LIBRARY & INFORMATION CENTER, 2021)
Efficient and collision-free pathfinding, between source and destination locations for multi-Unmanned Aerial Vehicles (UAVs), in a predefined environment is an important topic in 3D Path planning methods. Since path planning ...
A Novel and Mosaic WDR45 Nonsense Variant Causes Beta-Propeller Protein-Associated Neurodegeneration Identified Through Whole Exome Sequencing and X chromosome Heterozygosity Analysis
(Humana Press Inc, 2019)
Beta-propeller protein-associated neurodegeneration (BPAN) is an X-linked rare dominant disorder of autophagy. The role of WDR45 has been implicated in BPAN almost exclusively in females possibly due to male lethality. ...
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems
(Elsevier B.V., 2021)
This paper introduces three hybrid algorithms that help in solving global optimization problems using reinforcement learning along with metaheuristic methods. Using the algorithms presented, the search agents try to find ...
A split execution model for SpTRSV
(IEEE Computer Society, 2021)
Sparse Triangular Solve (SpTRSV) is an important and extensively used kernel in scientific computing. Parallelism within SpTRSV depends upon matrix sparsity pattern and, in many cases, is non-uniform from one computational ...
Adapted-RRT: novel hybrid method to solve three-dimensional path planning problem using sampling and metaheuristic-based algorithms
(Springer Science and Business Media Deutschland GmbH, 2021)
Three-dimensional path planning for autonomous robots is a prevalent problem in mobile robotics. This paper presents three novel versions of a hybrid method designed to assist in planning such paths for these robots. In ...
Improving the performance of hierarchical wireless sensor networks using the metaheuristic algorithms: efficient cluster head selection
(Emerald Group Holdings Ltd., 2021)
Purpose: Efficient resource utilization in wireless sensor networks is an important issue. Clustering structure has an important effect on the efficient use of energy, which is one of the most critical resources. However, ...
Optimal characterization of a microwave transistor using grey wolf algorithms
(SPRINGER, 2021)
Modern time microwave stages require low power consumption, low size, low-noise amplifier (LNA) designs with high-performance measures. These demands need a single transistor LNA design, which is a challenging multi-objective, ...
High-throughput analysis of the interactions between viral proteins and host cell RNAs
(Elsevier Ltd, 2021)
Indexed keywords
Abstract
RNA-protein interactions of a virus play a major role in the replication of RNA viruses. The replication and transcription of these viruses take place in the cytoplasm of the host cell; hence, ...
SYNE1 related cerebellar ataxia presents with variable phenotypes in a consanguineous family from Turkey
(Springer-Verlag Italia Srl, 2017)
SYNE1 related autosomal recessive cerebellar ataxia type 1 (ARCA1) is a late-onset cerebellar ataxia with slow progression originally demonstrated in French-Canadian populations of Quebec, Canada. Nevertheless, recent ...
Savalan: multi objective and homogeneous method for software modules clustering
(John Wiley and Sons Ltd, 2021)
Reverse engineering is used for extracting and understanding software architecture models from source code when the source code is the only available software product. Software module clustering is a reverse engineering ...
