Results 51 to 60 of about 1,067 (175)

An Enhanced Multiple Unmanned Aerial Vehicle Swarm Formation Control Using a Novel Fractional Swarming Strategy Approach

Fractal and Fractional
This paper addresses the enhancement of multiple Unmanned Aerial Vehicle (UAV) swarm formation control in challenging terrains through the novel fractional memetic computing approach known as fractional-order velocity-pausing particle swarm optimization (
Abdul Wadood, Al-Fahad Yousaf, Aadel Mohammed Alatwi   +2 more
doaj   +1 more source

Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies

Engineering Reports, Volume 8, Issue 5, May 2026.
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh, Deepak Chandra Uprety, Mohd Haroon, Dyuti Banerjee, Preety Shoran, Yash Varshney, Anurag Sinha, Samarth Sinha, Shantanu Kumar Mishra   +8 more
wiley   +1 more source

Exploring perceptions of Italian urban wildlife on TikTok

People and Nature, Volume 8, Issue 5, Page 1470-1484, May 2026.
Abstract In Western cities, some animals are valued for their beauty, rarity or usefulness, while others are dismissed as unwelcome. This distinction reflects the cultural meanings attached to each species and frequently conflicts with ecological priorities.
Gabriele Colombo, Michele Mauri, Alessandra Facchin   +2 more
wiley   +1 more source

A Review on Explainable, Federated Multimodal AI for Heart Disease Detection Using ECG, Cardiac Imaging, and Electronic Health Records

Engineering Reports, Volume 8, Issue 4, April 2026.
Heart disease remains one of the most critical health challenges globally, accounting for a substantial number of deaths each year. With ML, DL, and FL coming into existence, early diagnosis of heart disease through ECG, Cardiac Imaging, and EHRs became increasingly feasible.
P. Murali, S. Meenatchi
wiley   +1 more source

Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems

, 2015
A significantly under-explored area of evolutionary optimization in the literature is the study of optimization methodologies that can evolve along with the problems solved. Particularly, present evolutionary optimization approaches generally start their
ONG, Yew-Soon, TAN, Ah-hwee, TSANG, Ivor W., FENG, Liang   +3 more
core   +1 more source

Performing populist leadership online: Discursive and multimodal construction of a shared social identity

British Journal of Social Psychology, Volume 65, Issue 2, April 2026.
Abstract Populist leaders are known for engaging supporters through compelling rhetoric, sparking debate about what persuasive strategies they use to mobilize voters. While research shows that leaders creatively frame their communication, the role of social media–especially its multimodal affordances–remains poorly understood.
Jenni Jaakkola, Inari Sakki, Eemeli Hakoköngäs, Jari Martikainen   +3 more
wiley   +1 more source

Advanced direct torque control of induction motors with quantum-inspired memetic neural swarm optimization (QIMNSO) for improved torque stability and energy efficiency

Journal of Electrical Systems and Information Technology
This paper has developed the advanced QIMNSO for enhancement in the DTC of induction motors through a set of proposed schemes on quantum computing, memetic algorithms, adaptiveness of a neural network, and swarm intelligence.
Mustafa E. I. Mohammed, A. H. Gomaa Haroun   +1 more
doaj   +1 more source

Süper Akıllı Toplum; Dijital Kimlikler ve Kovan Zihnin Tekilliği

Nous Academy Journal
In an era defined by the exponential acceleration of information and communication technologies, humanity inhabits a digital condition in which conventional understandings of time, space, embodied sociality, and even temporal continuity have been ...
Mert Erekmekçi
doaj   +1 more source

Qubit‐Efficient Quantum Local Search for Combinatorial Optimization

Advanced Quantum Technologies, Volume 9, Issue 3, March 2026.
We introduce a qubit‐efficient variational quantum algorithm for combinatorial optimization that adaptively uses from logarithmic to a linear number of qubits to implement quantum local search. The method encodes flip probabilities of spin groups into quantum amplitudes, enabling exploration of classically intractable neighborhoods while maintaining ...
Mikhail Podobrii, Viacheslav Kuzmin, Vladimir Voloshinov, Margarita Veshchezerova, Michael R. Perelshtein   +4 more
wiley   +1 more source

Energy‐aware flexible job shop scheduling problem with nonlinear routes and position‐based learning effect

International Transactions in Operational Research, Volume 33, Issue 2, Page 860-891, March 2026.
Abstract Sustainability has become one of the main objectives in all human activities and, in particular, in manufacturing environments. In this paper, we consider the flexible job shop scheduling problem with the objective of minimizing energy consumption.
Ernesto G. Birgin, José Angel Riveaux, Débora P. Ronconi   +2 more
wiley   +1 more source