Results 51 to 60 of about 2,488 (163)

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 multi-objective metamodel-assisted memetic algorithm with strength-based local refinement

, 2009
International audienceMetamodel-Assisted Evolutionary Algorithms are low-cost optimization methods for CPU demanding problems. Memetic Algorithms combine global and local search methods, aiming at improving the quality of promising solutions.
Giannakoglou, KC, Georgopoulou, CA, Giannakoglou, Kyriakos C., Georgopoulou, Chariklia   +3 more
core   +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

Enhancing Feature Selection in High-Dimensional Data With Fuzzy Fitness-Integrated Memetic Algorithms

IEEE Access
In environments rich in data, machine learning models often encounter challenges such as data sparsity and overfitting, primarily due to datasets with an excessive number of features.
Keerthi Gabbi Reddy, Deepasikha Mishra
doaj   +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

Advances in Hybrid Evolutionary Computation for Continuous Optimization

, 2011
Evolutionary Algorithms (EAs) are a set of optimization techniques that have become highly popular in recent decades. One of the main reasons for this success is that they provide a general purpose mechanism for solving a wide range of problems.
Muelas Pascual, Santiago
core   +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

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

Multiobjective car relocation problem in one-way carsharing system

Journal of Modern Transportation, 2018
In this paper, we present a multiobjective approach for solving the one-way car relocation problem. We fix three objectives that include the number of remaining rejected demands, the number of jockeys used for the relocation operations, and the total ...
Rabih Zakaria, Mohammad Dib, Laurent Moalic   +2 more
doaj   +1 more source