Suchergebnisse - design ad—optimization general terms algorithms*

Autonomous AI Agents for Multi-Platform Social Media Marketing: A Simultaneous Deployment Study.

Autoren: Ahn, Joongho Kim, Moonsoo

Quelle: Electronics (2079-9292); Nov2025, Vol. 14 Issue 21, p4161, 48p

Schlagwörter: SOCIAL media in marketing, INTELLIGENT agents, DESIGN, SOCIAL interaction, MATHEMATICAL optimization, INTERNET marketing

MULTISCALE COMPUTATIONAL DESIGN AND STRUCTURAL-FUNCTIONAL OPTIMIZATION OF FLY ASH-REINFORCED ALUMINUM MATRIX COMPOSITES.

Autoren: Shaquib, Omair Kaur, Ravinderjeet Parbhakar, Dev

Quelle: Lex Localis: Journal of Local Self-Government; 2025 Supplement, Vol. 23 Issue S6, p7016-7033, 18p

Schlagwörter: FLY ash, ALUMINUM composites, MOLECULAR dynamics, MACHINE learning, FINITE element method, MECHANICAL behavior of materials, SUSTAINABLE development, MULTISCALE modeling

Algorithms in Digital Marketing: Does Smart Personalization Promote a Privacy Paradox?

Autoren: Saura, José Ramón

Quelle: FIIB Business Review; Oct2024, Vol. 13 Issue 5, p499-502, 4p

Schlagwörter: SOCIAL media in marketing, DATA privacy, SEARCH engine optimization, MACHINE learning, GENERAL Data Protection Regulation, 2016

Responsible AI in Marketing: AI Booing and AI Washing Cycle of AI Mistrust.

Autoren: Ozturkcan, Selcen Bozdağ, Ayşe Aslı

Quelle: International Journal of Market Research; Nov2025, Vol. 67 Issue 6, p696-722, 27p

Schlagwörter: MARKETING, ETHICAL problems, STAKEHOLDER theory, LEGAL compliance, HONESTY

Experimental investigation and optimization of friction stir welding parameters to manufacture AA6061-B4C composite material using design of experiments.

Autoren: Manjunatha, C. N, Sreenivasa T. V, Madhusudhana S. et al.

Quelle: Journal of Materials Science: Materials in Engineering; 9/30/2025, Vol. 20 Issue 1, p1-16, 16p

Fusing Predictive and Large Language Models for Actionable Recommendations in Creative Marketing.

Autoren: Yang, Qi Farseev, Aleksandr Ongpin, Marlo et al.

Quelle: ACM Transactions on Information Systems; Sep2025, Vol. 43 Issue 5, p1-31, 31p

Schlagwörter: LANGUAGE models, DEEP learning, DIGITAL learning, ARTIFICIAL intelligence, ADVERTISERS

Simplifying Ad Publishing with AI-Powered Image and Video Generation.

Autoren: Boinpally, Dinesh

Quelle: Journal of Computer Science & Technology Studies; 2025, Vol. 7 Issue 6, p103-112, 10p

Schlagwörter: GENERATIVE artificial intelligence, MACHINE learning, ARTIFICIAL intelligence, AWARENESS advertising, MARKETING, DEEP learning

AI and Neuromarketing - Understanding Consumer Decision Making with Artificial Intelligence - Systematic Review.

Autoren: Deckker, Dinesh Sumanasekara, Subhashini

Quelle: Indonesian Journal of Business Analytics; Apr2025, Vol. 5 Issue 2, p1929-1946, 18p

Schlagwörter: NATURAL language processing, CONSUMER behavior, MACHINE learning, ARTIFICIAL intelligence, COMPUTER vision, NEUROMARKETING

Automatic Differentiation Accelerated Shape Optimization Approaches to Photonic Inverse Design in FDFD/FDTD.

Autoren: Hooten, Sean Sun, Peng Gantz, Liron et al.

Quelle: Laser & Photonics Reviews; 1/22/2025, Vol. 19 Issue 2, p1-22, 22p

Schlagwörter: AUTOMATIC differentiation, PHOTONICS, STRUCTURAL optimization, SENSITIVITY analysis, FINITE difference time domain method, JACOBIAN matrices

Artificial Intelligence in Marketing: Next Generation Strategies and Applications.

Alternate Title: Pazarlamada Yapay Zekâ: Yeni Nesil Stratejiler ve Uygulamalar. (Turkish)

Autoren: GÜLBAŞI, Ali

Quelle: International Journal of Management Academy; 2025, Vol. 8 Issue 3, p786-801, 16p

Schlagwörter: ARTIFICIAL intelligence, MARKETING strategy, CUSTOMER experience, CONSUMER behavior, CHATBOTS, CAMPAIGN management

Past Imperfect or Present Perfect? How Dynamic Ranks Influence Consumer Perceptions.

Autoren: Pandey, Arpita Tripathi, Sanjeev Jain, Shailendra Pratap

Quelle: Journal of Marketing Research (JMR); Feb2025, Vol. 62 Issue 1, p117-135, 19p

Schlagwörter: RANKING, BUSINESS enterprises, CONSUMER attitudes, LISTS, CONSUMER behavior

Federated Learning's Role in Next-Gen TV Ad Optimization.

Autoren: Dobrița, Gabriela Oprea, Simona-Vasilica Bâra, Adela

Quelle: Computers, Materials & Continua; 2025, Vol. 82 Issue 1, p675-712, 38p

Schlagwörter: FEDERATED learning, DATA privacy, K-nearest neighbor classification, TELEVISION advertising, LINEAR programming

Machine learning methods for the modelling and optimisation of biogas production from anaerobic digestion: a review.

Autoren: Ling, Jordan Yao Xing Chan, Yi Jing Chen, Jia Win et al.

Quelle: Environmental Science & Pollution Research; Mar2024, Vol. 31 Issue 13, p19085-19104, 20p

Schlagwörter: MACHINE learning, ARTIFICIAL neural networks, ANAEROBIC digestion, BIOGAS, BIOGAS production, PARTICLE swarm optimization, GENETIC algorithms, FUZZY logic

The synergy of neuromarketing and artificial intelligence: A comprehensive literature review in the last decade.

Autoren: Alsharif, Ahmed H. Wang, Junhai Isa, Salmi Mohd et al.

Quelle: Future Business Journal; 7/21/2025, Vol. 11 Issue 1, p1-30, 30p

Schlagwörter: ARTIFICIAL intelligence, CONSUMER behavior, COGNITIVE psychology, DATABASES, BRAIN-computer interfaces, NEUROMARKETING

Assessing self-selection biases in Facebook-recruited online surveys: Evidence from the COVID-19 Health Behavior Survey.

Autoren: Donzowa, Jessica Perrotta, Daniela Zagheni, Emilio

Quelle: PLoS ONE; 7/8/2025, Vol. 20 Issue 7, p1-21, 21p

Schlagwörter: COVID-19 pandemic, TARGETED advertising, HEALTH behavior, INTERNET surveys, HEALTH surveys

Walking speeds are lower for short distance and turning locomotion: Experiments and modeling in low-cost prosthesis users.

Autoren: Seethapathi, Nidhi Jain, Anil Kumar Srinivasan, Manoj

Quelle: PLoS ONE; 1/2/2024, Vol. 19 Issue 1, p1-22, 22p

Schlagwörter: WALKING speed, PROSTHETICS, PROSTHESIS design & construction, INTERFACIAL stresses, COST estimates, AMPUTATION

Benefits of conductive additive for direct interspecies electron transfer in anaerobic digestion.

Autoren: Tan, Guangcai Yu, Han-Qing

Quelle: Frontiers of Environmental Science & Engineering; Dec2025, Vol. 19 Issue 12, p1-8, 8p

AI-DRIVEN BRAND EQUITY:ASYSTEMATIC REVIEWOF CONSUMERPERCEPTIONS, ENGAGEMENT,AND LOYALTY IN THEAGE OF INTELLIGENTBRANDING.

Autoren: AL-HABSI, AHRA SULTAN MOHAMED, HATIM RAMADAN METHUKU, HARINI

Quelle: TPM: Testing, Psychometrics, Methodology in Applied Psychology; 2025 Supplement, Vol. 32, p1-22, 22p

Harnessing Convolutional Neural Networks for The Optimization of Anaerobic Digestion of Sugarcane Bagasse: A Novel Approach to Pretreatment Strategies and Microbial Activity Prediction.

Autoren: Kasulla, Srinivas Malik, S. J. Yadav, Anjani et al.

Quelle: African Journal of Biomedical Research; 2025 Supplement, Vol. 28, p601-618, 18p

Schlagwörter: CONVOLUTIONAL neural networks, ANAEROBIC digestion, BIOMASS energy, MATHEMATICAL optimization, ANAEROBIC microorganisms, BAGASSE, BIOGAS production

Leveraging GenAI in short-form video ads: Strategies for maximizing reach, engagement, and customer loyalty.

Autoren: Joshi, Ram Panyam, Sriram Gujar, Praveen et al.

Quelle: MATEC Web of Conferences; 9/5/2025, Vol. 411, p1-12, 12p