Results 81 to 90 of about 6,064 (288)

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

SURE: Session-Based Uninteresting Item Removal for Enhanced Recommendations

IEEE Access
Sequential recommendation systems are designed to predict user’ s subsequent actions and recommend relevant items, particularly within session-based interactions where user preferences can change rapidly.
Navaneeth Sivakumar, Ankith Motha, G. Suganeshwari, S. P. Syed Ibrahim, Vijayan Sugumaran   +4 more
doaj   +1 more source

Enhancing Business Intelligence by Means of Suggestive Reviews

The Scientific World Journal, 2014
Appropriate identification and classification of online reviews to satisfy the needs of current and potential users pose a critical challenge for the business environment. This paper focuses on a specific kind of reviews: the suggestive type. Suggestions
Atika Qazi, Ram Gopal Raj, Muhammad Tahir, Erik Cambria, Karim Bux Shah Syed   +4 more
doaj   +1 more source

APPLICATION OF ASSOCIATION RULE MINING AND MINING SEQUENTIAL PATTERNS ON CRM PT. ARMADA INTERNATIONAL MOTOR

, 2018
Keeping in touch with customers is a step that must be done by the company to increase customer loyalty. CRM is a set of processes to acquire, maintain and enhance the values ​​for customer satisfaction for the continued growth of corporate profits. With
Setiyawati, Nina
core   +1 more source

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

Advanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan, Lin Guo, Kilian Schäfer, Eduardo Sergio Oliveros‐Mata, Xiaotao Wang, Florian Hofmann, Matthias Lutzi, Mark Suppelt, Proloy Taran Das, Jan Schmidtpeter, Imants Dirba, Stephan Rinderknecht, Mario Kupnik, Denys Makarov, Oliver Gutfleisch   +14 more
wiley   +1 more source

FSRM: A Fast Algorithm for Sequential Rule Mining

, 2014
Recent developments in computing and automation technologies have resulted in computerizing business and scientific applications in various areas. Turing the massive amounts of accumulated information into knowledge is attracting researchers in numerous domains as well as databases, machine learning, statistics, and so on. From the views of information
Paliwal, Anjali, Dave, Sourbha
openaire   +2 more sources

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Compact Representation of Association Rule With Sequential Item Mapping Rendering Approach

IEEE Access
Association rule mining are widely used to uncover meaningful insights from real-world datasets. However, the complex nature of transactional data, especially when identifying frequent item patterns, poses significant challenges.
Puripat Thongkam, Pakorn Leesutthipornchai   +1 more
doaj   +1 more source

On using MapReduce to scale algorithms for Big Data analytics: a case study

Journal of Big Data, 2019
Introduction Many data analytics algorithms are originally designed for in-memory data. Parallel and distributed computing is a natural first remedy to scale these algorithms to “Big algorithms” for large-scale data.
Phongphun Kijsanayothin, Gantaphon Chalumporn, Rattikorn Hewett   +2 more
doaj   +1 more source

A Genetic Programming Framework for Two Data Mining Tasks: Classification and Generalized Rule Induction

, 1997
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely classification and generalized rule induction. The framework emphasizes the integration between a GP algorithm and relational database systems. In particular,
Alex A. Freitas, Freitas, Alex A.
core