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Machine Learning

Stephen Marsland • Chapman & Hall/CRC eBooks (2014)

A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing wo...

OPENALEX DOI: https://doi.org/10.1201/b17476

Optimization for Machine Learning

S. Sra, S. Nowozin, Stephen J. Wright • The MIT Press eBooks (2011)

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments ...

OPENALEX DOI: https://doi.org/10.7551/mitpress/8996.001.0001

Exploring the Impact of Alternatives of Object-Oriented Cohesion Measures on Machine Learning-Based Predictions of Inheritance Reusability

Jehad Al Dallal, Bader Alkhazi • IEEE Access (2024)

The cohesion of an object-oriented class refers to the relatedness of its methods and attributes. Constructors, destructors, and access methods are special types of methods featuring unique characteristics that can artificially affect class...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3484007

LearningEMS: A Unified Framework and Open-Source Benchmark for Learning-Based Energy Management of Electric Vehicles

Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering (2025)

An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.eng.2024.10.021

A feature selection and scoring scheme for dimensionality reduction in a machine learning task

PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses • Journal of Nigerian Society of Physical Sciences (2025)

Selection of important features is very vital in machine learning tasks involving high-dimensional dataset with large features. It helps in reducing the dimensionality of a dataset and improving model performance. Most of the feature select...

DOAJ Open Access (DOAJ) DOI: 10.46481/jnsps.2025.2273

A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm

Dhanalekshmi Prasad Yedurkar, Shilpa P. Metkar, Fadi Al-Turjman, Thompson Stephan et al. • Sensors (2022)

A novel approach for multichannel epilepsy seizure classification which will help to automatically locate seizure activity present in the focal brain region was proposed. This paper suggested an Internet of Things (IoT) framework based on a...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22239302

Advanced Artificial Intelligence

Zhongzhi Shi • WORLD SCIENTIFIC eBooks (2011)

Artificial intelligence is a branch of computer science and a discipline in the study of machine intelligence, that is, developing intelligent machines or intelligent systems imitating, extending and augmenting human intelligence through ar...

OPENALEX DOI: https://doi.org/10.1142/7547

An integrated method for color correction based on color constancy for early mural images in Mogao Grottoes

Zhen Liu, Zhen Liu, Yi-Xuan Liu, Gui-Ai Gao et al. • Frontiers in Neuroscience (2022)

Restoring the correct or realistic color of a cultural heritage object is a crucial problem for imaging techniques. Digital images often have undesired color casts due to adverse effects caused by unstable illuminant conditions, vignetting,...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnins.2022.1024599

Artificial Empathy and Imprecise Communication in a Multi-Agent System

Joanna Siwek, Konrad Pierzyński, Przemysław Siwek, Adrian Wójcik et al. • Applied Sciences (2024)

This paper introduces a novel artificial intelligence model that integrates artificial empathy into the decision-making processes of collaborative agent systems. The existing models of collaborative behaviors, especially in swarm applicatio...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15010008

Artificial intelligence

Akshar Joshi, Gautam Mishra • International Conference & Workshop on Emerging Trends in Technology (2010)

In this paper, we will explore the magic of giving the power of thinking to man--made machines, i.e. Artificial Intelligence which is involved in many fields of electronics and computers. In 1956, John McCarthy who coined the term of Artifi...

OPENALEX DOI: https://doi.org/10.1145/1741906.1742236

On Artificial Intelligence and Manipulation

Marcello Ienca • Topoi (2023)

Abstract The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorit...

OPENALEX cc-by DOI: https://doi.org/10.1007/s11245-023-09940-3

A hybrid transformer–neuromorphic framework for robust pest detection in agriculture

Subhranil Das, Rashmi Kumari, Raghwendra Kishore Singh, Tanupriya Choudhury • Discover Artificial Intelligence (2026)

Abstract Detecting pests in agricultural fields remains one of the challenging tasks due to the small size of the objects and occlusion effects. In this paper, Trans-Neu-Pest, a hybrid framework, has been proposed by integrating the Swin Tr...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01824-w

<i>It Helps with Crap Lecturers and Their Low Effort</i>: Investigating Computer Science Students’ Perceptions of Using ChatGPT for Learning

Mireilla Bikanga Ada • Education Sciences (2024)

This study explores how computing science students (n = 335) use ChatGPT, their trust in its information, their navigation of plagiarism issues, and their confidence in addressing plagiarism and academic integrity. A mixed-methods approach ...

DOAJ Open Access (DOAJ) DOI: 10.3390/educsci14101106

Multi‐modal broad learning for material recognition

Zhaoxin Wang, Huaping Liu, Xinying Xu, Fuchun Sun • Cognitive Computation and Systems (2021)

Abstract Material recognition plays an important role in the interaction between robots and the external environment. For example, household service robots need to replace humans in the home environment to complete housework, so they need t...

DOAJ Open Access (DOAJ) DOI: 10.1049/ccs2.12004

Unified Multimodal Information Flows for Immersive and Context-Aware 6G Systems

Rajesh Manoharan, R. V. Siva Balan, G. Govinda Rajulu, Amit Kumar Padhy et al. • IEEE Open Journal of the Communications Society (2026)

Communication is moving from being data-centric to being experience-centric and perception-aware with the advent of 6G wireless networks. Immersive applications such as digital twins, holographic telepresence, extended reality, tactile Inte...

DOAJ Open Access (DOAJ) DOI: 10.1109/OJCOMS.2026.3683716

Evolution of strategies in iterated games: a deep multi-agent reinforcement learning approach with hybrid genetic and CMA-ES optimization

ShangJun Li, Avijit Deb Nath, Md. Hadi Al-amin • Frontiers in Artificial Intelligence (2026)

The emergence of cooperation among self-interested agents in social dilemmas remains a central unsolved problem in evolutionary game theory, multi-agent systems, and behavioral science. While memory-one reciprocal strategies such as Tit-for...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1844089

Artificial intelligence: A powerful paradigm for scientific research

Yongjun Xu, Xin Liu, Xin Cao, Changping Huang et al. • The Innovation (2021)

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day li...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.xinn.2021.100179 PMC: 8633405

Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy

Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou et al. • Nature Communications (2025)

Abstract The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolution due to the stability-activity trade-off. Here, we develop an isothermal compressibility-assisted dynamic squeezing index perturba...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-025-55944-5