17 papers · ranked by Valyu relevance
Lorién López-Villellas, Cristian Iñiguez, Albert Jiménez-Blanco, Quim Aguado-Puig + 4 more
Advances in DNA sequencing have outpaced advances in computation, making sequence alignment a major bottleneck in genome data analyses. Classical dynamic programming (DP) algorithms are particularly memory-intensive, especially when computing gap-affine and dual gap-affine alignments. Existing strategies to reduce…
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu + 6 more
'Jiang Bian' 'Dongsheng Li' 'Weinan Zhang' 'Yong Yu' 'Tie‐Yan Liu'] Order execution is a fundamental task in quantitative finance, aiming at finishing acquisition or liquidation for a number of trading orders of the specific assets. Recent advance in model-free reinforcement learning (RL) provides a data-driven…
Mansoor Iqbal, Muhammad Umar Shafiq, Shouzab Khan, Obaidullah + 3 more
'Saad Alahmari' 'Zahid Ullah' 'Massimiliano Fasi'] Efficient task execution is critical to optimize the usage of computing resources in process scheduling. Various task scheduling algorithms ensure optimized and efficient use of computing resources. This article introduces an innovative dual-layer scheduling algorithm…
Leo Gold, Adam Bienkowski, David Sidoti, Krishna R. Pattipati + 1 more
'Omer Khan'] The Multi-Objective Shortest-Path (MOS) problem !nds a set of Pareto-optimal solutions from a start node to a destination node in a multi-attribute graph. To solve the NP-hard MOS problem, the literature explores heuristic multi-objective A* style algorithmic approaches. A generalized MOS algorithm…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
WeiWei Du, XiaoWei Chen
As task diversity and inter-task relationship complexity grow, optimal formation power allocation is key to improving task execution efficiency. This paper proposes a task optimization allocation method with multiple groups collaboration, constructing a task network based on analysis of task static characteristics and…
Marek Sztuka, Krzysztof Kotlarz, Magda Mielczarek, Piotr Hajduk + 2 more
This study compared computational approaches to parallelisation of an SNP calling workflow. Data comprised DNA from five Holstein-Friesian cows sequenced with the Illumina platform. The pipeline consisted of quality control, alignment to the reference genome, post-alignment, and SNP calling. Three approaches to…
Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini + 2 more
'Alessandro Ricci' 'Andrea Omicini'] Abstract. The execution of Belief-Desire-Intention (BDI) agents in a Multi-Agent System (MAS) can be practically implemented on top of low-level concurrency mechanisms that impact on efficiency, determinism, and reproducibility. We argue that developers should specify the MAS…
Olena Doroshenko
Pathfinding in complex topographies poses a challenge with applications extending from urban planning to autonomous navigation. While numerous algorithms offer potential solutions, their comparative efficiency and reliability when confronted with nonlinear terrains remain to be systematically evaluated. This study…
Donald S. Ene, V.I.E Anireh
- Evaluating how well a whole system or set of subsystems performs is one of the primary objectives of performance testing. We can tell via performance assessment if the architecture implementation meets the design objectives. Performance evaluations of several parallel algorithms are compared in this study. Both…
Wilfried Agbeto, Camille Coti, Vladimir Reinharz
Advances in graph algorithmics have allowed in-depth study of many natural objects from molecular biology or chemistry to social networks. Particularly in molecular biology and cheminformatics, understanding complex structures by identifying conserved sub-structures is a key milestone towards the artificial design of…
Bahman Arasteh, Seyed Salar Sefati, Huseyin Kusetogullari, Farzad Kiani + 3 more
Efficient task scheduling remains a key challenge in High-Performance Computing and Internet of Things (IoT) systems, where the sequential execution of nested loops often limits parallelism. This paper proposes a hybrid approach that dynamically parallelizes nested loops in heterogeneous IoT environments. The suggested…
Sigal Oren, Oren Roth
We consider trading indivisible and easily transferable durable goods, which are goods that an agent can receive, use, and trade again for a different good. This is often the case with books that can be read and later exchanged for unread ones. Other examples of such easily transferable durable goods include puzzles…
Alejandro Alonso-Marín, Ivan Fernandez, Quim Aguado-Puig, Juan Gómez-Luna + 3 more
Recent advances in sequencing technologies have stressed the critical role of sequence analysis algorithms and tools in genomics and healthcare research. In particular, sequence alignment is a fundamental building block in many sequence analysis pipelines and is frequently a performance bottleneck both in terms of…
Asmaa H. Rabie, Ahmed I. Saleh, Nehal A. Mansour
An optimization algorithm is a step-by-step procedure which aims to achieve an optimum value (maximum or minimum) of an objective function. Several natural inspired meta-heuristic algorithms have been inspired to solve complex optimization problems by utilizing the potential advantages of swarm intelligence. In this…
Authors not listed
Automated chemistry platforms hold the potential to enable large-scale organic synthesis campaigns, such as producing a library of compounds for biological evaluation. The efficiency of such platforms will depend on the schedule according to which the synthesis operations are executed. In this work, we study the…
Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capotă + 3 more
'Theodore L. Willke' 'Shahin Nazarian' 'Paul Bogdan'] Recent technological advances have contributed to the rapid increase in algorithmic complexity of applications, ranging from signal processing to autonomous systems. To control this complexity and endow heterogeneous computing systems with autonomous programming and…