In the Big Data era, efficient data analytics workflows are imperative to extract useful and meaningful insights. Data analysts and scientists spend an inordinate amount of time finding the best workflow via trial and error to get accurate and meaningful ...

Finding ground states of quantum many-body systems is known to be hard for both classical and quantum computers. As a result, when Nature cools a quantum system in a low-temperature thermal bath, the ground state cannot always be found efficiently. ...

The quest for retrieving relevant media for a given query is well-studied and has various applications. Modern publicly available media collections provide diverse modalities of the same objects, which can enhance search. Our research delves into ...

Computer scientists are trained in the art of creating abstractions that simplify and generalize. However, a premature abstraction that omits crucial contextual details creates the risk of epistemic trespassing, by falsely asserting its relevance into ...

In this paper, we propose a system framework of Pub/Sub-based multimodal data transmission to mobile terminals. For various sensors, we classify the data in different topics, but transmit them in the uniform data channel, with different transmission ...

With the benefit of virtualization technology and an ascending trend towards more cloud applications, virtual cluster (VC) allocation concerning different requirements of application deployment is vital to cloud datacenters and edge networks. Most of the ...

In this paper, we present a thorough performance analysis of a highly parallel Monte Carlo code for modeling global erosion and redeposition in fusion devices, ERO2.0. The study shows that the main bottleneck preventing the code from efficiently using ...

In the face of growing energy and water consumption, the pumping costs of water supply systems in high-rise buildings are on the rise. The state of practice uses statically configured water level thresholds or time-based triggers to activate water pumps,...

Mainstream LSM-tree-based key-value stores face challenges in optimizing performance for point lookup, range lookup, and update operations concurrently due to their constrained configurations. They typically follow fixed patterns to specify the level ...

Beyond-5G and 6G wireless networks exploit the millimeter-wave (mmWave) frequency bands to achieve significantly improved data rates, and existing mmWave systems rely on analog single-user beamforming (SUBF) or hybrid multi-user beamforming (MUBF). In ...

Combinatorial Optimization (CO) problems exhibit exponential complexity, constraining classical computers from providing fast and satisfactory outcomes. Quantum Computers (QCs) can effectively find optimal or near-optimal solutions by exploring the ...

In partnership with Tetra Tech, the Louisville and Jefferson County Metropolitan Sewer District in Kentucky pioneered the application of software that relies on sewer-monitoring data, weather forecasting, and data analytics for system optimization. ...

The Louisville and Jefferson County Metropolitan Sewer District (Louisville MSD) in Kentucky uses operations research, advanced analytics, and innovative engineering concepts to protect local community waterways by optimizing the collection, transport, ...

Agencia Estatal de Seguridad Aerea, the Spanish aviation safety and security agency, applied an innovative risk analysis methodology and decision support system, developed in partnership with the Spanish Royal Academy of Sciences, to improve Spain’s ...

Agencia Estatal de Seguridad Aerea, the Spanish aviation safety and security agency, applied an innovative risk-analysis methodology and decision support system, developed in partnership with the Spanish Royal Academy of Sciences, to improve Spain’s ...

The authors discuss how Boston Public Schools (BPS) and a team from Massachusetts Institute of Technology addressed the BPS bus routing problem. They developed an algorithm that decomposes and separately solves subproblems of assigning students to bus ...

In the winter of 2016, Boston Public Schools (BPS) launched a crowdsourcing national competition to create a better way to construct bus routes to improve efficiency, deepen the ability to model policy changes, and realign school start times. The winning ...

Differentiable rendering methods promise the ability to optimize various parameters of three-dimensional (3D) scenes to achieve a desired result. However, lighting design has so far received little attention in this field. In this article, we introduce a ...

Allocating students to industry placements is a necessary task in educational contexts that need optimization techniques. This article proposes a novel integer linear programming model where, differently to other proposals, students' and businesses' ...

As JavaScript and its backend web frameworks garnered mainstream adoption and played a pivotal role in today's industry, challenges of runtime performance, developer experience, and type safety are potential hindrances to scaling and maintainability.

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Many applications are designed to perform traversals on tree-like data structures. Fusing and parallelizing these traversals enhance the performance of applications. Fusing multiple traversals improves the locality of the application. The runtime of an ...

Kernel scheduling is the problem of finding the most efficient implementation for a computational kernel. Identifying this implementation involves experimenting with the parameters of compiler optimizations, such as the size of tiling windows and ...

In federated learning, benign participants aim to optimize a global model collaboratively. However, the risk of privacy leakage cannot be ignored in the presence of semi-honest adversaries. Existing research has focused either on designing protection ...