13 datasets

figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">Slide show for illustrative purpose - Democracy Now - Pre Print Review 2026</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This book argues for a simple engineering principle: a system should not receive more freedom to act than we have the independent ability to verify, constrain, and stop. Five ideas carry the argument. 1. Safety Must Be Designed Before Capability Growth Boundaries, stop mechanisms, verification criteria, and rules for expanding authority must exist before the system receives the corres

ZivaHub2026 · dataset

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ZivaHub2026 · dataset

Entry of contaminants in water distribution systems intentionally or by accidental is threat for human health. One of the effective and efficient methods to manage this contamination is to place contaminant detection sensors in water distribution systems (WDSs). The purpose of this work is to emphasize on the importance of both inspection and investigation of water distribution systems against the

ZivaHub2026 · dataset

This chapter introduces Multi-Objective Artificial Hummingbird Algorithm (MOAHA), a multi-objective variation of the newly established Artificial Hummingbird Algorithm (AHA). The AHA algorithm simulates the specific flight skills and intelligent search strategies of hummingbirds in the wild. Three types of flight skills are used in food search strategies, including axial, oblique, and all-round fl

ZivaHub2026 · dataset

Problems of water resource systems entail many inherent objectives from cost-related to environmental issues, which are usually in conflict and should be addressed simultaneously in decision-making. Multi-objective optimization algorithms aim to simultaneously satisfy two or more objectives and provide a set of optimal solutions for multi-objective optimization problems. Such algorithms can also i

ZivaHub2026 · dataset

In this chapter, the Multi-Objective Archived-based Whale Optimization Algorithm (MAWOA) is a multi-objective version of the proposed WOA. It mimics the social behavior of humpback whales, and the algorithm is based on the bubble-net hunting strategy. The WOA algorithm incorporates three mechanisms, namely archive, grid, and leader selection, to facilitate multi-objective optimization. As a result

ZivaHub2026 · dataset

The objective of this research is to tackle the topology planning issue in Wireless Mesh Networks (WMNs) through the implementation of a Binary Whale Optimization Algorithm (BWOA). S-shaped and V-shaped families of transfer functions are employed to obtain a binary versions of WOA. BWOA is designed to reduce the number of mesh routers needed to meet the full coverage and full connectivity requirem

ZivaHub2026 · Crystal structure

In this chapter, three recent swarm intelligence algorithms are used to solve a challenging optimization problem in the field of photonics, including Grey Wolf Optimizer, Whale Optimization Algorithm, and Moth Flame Optimization Algorithm. The problem is to optimize the radii of several rods in a photonics crystal to minimize light wave loss when there is a bend corner. This problem is first prese

ZivaHub2026 · dataset

Data clustering is one of the necessary research fields in data analysis. Clustering is an unsupervised classification method for assigning data objects to separate groups, which are called clusters. So that the similarity of the data within each cluster and the difference between the cluster data is high, a variety of meta-heuristic algorithms can be used to solve this problem. In this paper, a n

HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">The dataset contains 5000 records with 19 attributes pertaining to transport of goods to various locations by drivers travelling on different routes. Columns include route specific data (route identifier, distance, traffic density, fuel consumed), environmental metrics (temperature and humidity), variables related to driver behaviour (fatigue level, feedback score, violations), and ot

ZivaHub2026 · dataset

This chapter provides preliminaries and essential definitions in optimization, meta-heuristics, and swarm intelligence. It starts with different components of optimization problems, formulations, and categories. Conventional and recent optimization algorithms to optimize such problems are then discussed. The chapter is finished by focusing on meta-heuristics and swarm intelligence algorithms as th

figshare2026 · Astronomical catalogue

<p dir="ltr">We conducted a systematic scoping review following PRISMA-ScR guidelines. To ensure comprehensive coverage, we executed a rigorous, multi-database search using a custom Python 3.12 script designed for automated retrieval and metadata extraction, supplemented by extensive manual search and backward/forward citation tracking. From 7,901 initial records, 120 studies published between 201