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Academic Articles & Research Papers
Showing 20 of 24 academic articles
Kunal Singh, Ajit Khosla, Shilpa Gupta • ECS Sensors Plus
(2023)
Soft robotics, offering precise actions in complex environments, stands at the brink of transformative advancements across diverse fields. To realize this potential, the field must address five key challenges: creation of soft power and con...
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Open Access (DOAJ)
DOI: 10.1149/2754-2726/ad08d6
Giulia Purpura, Giulia Purpura, Giulia Purpura, Andrea Bordin et al. • Frontiers in Medicine
(2026)
PurposeThe rehabilitation of neurodevelopmental disabilities is a complex process aimed at enhancing children’s functional abilities, minimizing the impact of disabilities on family dynamics, and promoting autonomy in daily life. Although s...
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Open Access (DOAJ)
DOI: 10.3389/fmed.2026.1798306
Ahmed Hussain Qureshi, Saba Mumtaz, Yasar Ayaz, Osman Hasan et al. • International Journal of Advanced Robotic Systems
(2015)
Rapidly-exploring Random Tree (RRT)-based algorithms have become increasingly popular due to their lower computational complexity as compared with other path planning algorithms. The recently presented RRT * motion planning algorithm improv...
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Open Access (DOAJ)
DOI: 10.5772/59763
Jr-Shin Li, Justin Ruths, Steffen J. Glaser • Nature Communications
(2017)
Coherent control of two-level systems is crucial for achieving fidelity in spectroscopy and quantum computing, but inherent nonlinearities and parameter variation have, to date, required an approximate, numerical approach. Here, Li et al. s...
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Open Access (DOAJ)
DOI: 10.1038/s41467-017-00441-7
Michael Nofer, Kevin Bauer, Oliver Fast Hinz, Wil M. P. van der Aalst et al. • Business & Information Systems Engineering
(2023)
There are signs that we are approaching a technical revolution that might take humankind’s computational capabilities to a new level. Quantum Computing leverages the principles of quantum mechanics, enabling the computational power to solve...
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DOI: https://doi.org/10.1007/s12599-023-00823-w
Masoud Mansouri-Samani, Morris S. Sloman • Distributed Systems Engineering
(1997)
Event-based monitoring is critical for managing and debugging networks and distributed systems. This paper presents GEM - an interpreted generalized event monitoring language. It allows high-level, abstract events to be specified in terms o...
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Open Access
DOI: https://doi.org/10.1088/0967-1846/4/2/004
Manfred Broy • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
(2006)
The amount of software in cars grows exponentially. Driving forces of this development are cheaper and more powerful hardware and the demand for innovations by new functions. The rapid increase of software and software based functionality b...
OPENALEX
DOI: https://doi.org/10.1145/1134285.1134292
Sanae Rujivan, Athinan Sutchada, Kittisak Chumpong, Napat Rujeerapaiboon • Mathematics
(2023)
This paper focuses mainly on the problem of computing the γth, γ>0, moment of a random variable Yn:=∑i=1nαiXi in which the αi’s are positive real numbers and the Xi’s are independent and distributed according to noncentral chi-square distri...
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Open Access (DOAJ)
DOI: 10.3390/math11051276
Aravind SEENI, Bernd SCHÄFER • INCAS Bulletin
(2023)
The design process of a Mars rover is driven by multiple design constraints, namely overall mass, power consumption and volume (dimensions). Various systems, such as mobility, manipulation, handling, power, thermal, communication, navigatio...
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Open Access (DOAJ)
DOI: 10.13111/2066-8201.2023.15.1.8
Xinyi Hu, Guan Yu Chen, Yange Luan, Tao Tang et al. • Advanced Science
(2024)
Abstract The phenomenon of flexoelectricity, wherein mechanical deformation induces alterations in the electron configuration of metal oxides, has emerged as a promising avenue for regulating electron transport. Leveraging this mechanism, s...
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Open Access (DOAJ)
DOI: 10.1002/advs.202404272
Cristian Cosentino, Simone Gatto, Pietro Liò, Fabrizio Marozzo • Future Internet
(2026)
Machine Learning (ML) models trained on large-scale datasets learn useful predictive patterns, but they may also memorize undesired information, leading to risks such as information leakage, bias, copyright violations, and privacy attacks. ...
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Open Access (DOAJ)
DOI: 10.3390/fi18030174
Miao Jiang, Honghui Chen • Applied Sciences
(2025)
Chinese named entity recognition (NER) is a fundamental natural language processing (NLP) task that involves identifying and categorizing entities in text. It plays a crucial role in applications such as information extraction, machine tran...
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Open Access (DOAJ)
DOI: 10.3390/app15052521
Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek et al. • IEEE Access
(2025)
Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. Their key benefits include automating tasks, improving customer service, and ensuring service a...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3574641
Wassim Bouachir, Koffi Eddy Ihou, Houssem-Eddine Gueziri, Nizar Bouguila et al. • IEEE Access
(2019)
Mechanical site preparation by mounding is often used by the forest industry to provide optimal growth conditions for tree seedlings. Prior to planting, an essential step consists in estimating the number of mounds at each planting block, w...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2923765
Hao Huang, G.T.S. Ho, V. Tang, E.W.H. Chow et al. • Journal of Advanced Research
(2026)
Introduction: Crack damage is a significant issue in tunnel environments, requiring efficient and reliable detection to ensure structural integrity. Many existing solutions are computationally expensive, making them unsuitable for the tight...
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Open Access (DOAJ)
DOI: 10.1016/j.jare.2025.11.052
B. Valarmathi, N. Srinivasa Gupta, G. Prakash, R. Hemadri Reddy et al. • IEEE Access
(2023)
Deep learning and computer vision algorithms will be applied to find the breed of the dog from an image. The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determi...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3297440
Bukola Peter Adedeji • World Electric Vehicle Journal
(2021)
Demand for pure electric vehicles has been found to be increasing over the years. This has necessitated the development of a model that would serve as a predicting machine for manufacturing different types of pure electric vehicles. Direct ...
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Open Access (DOAJ)
DOI: 10.3390/wevj12040257
Ivana Valentina Lemmuela, Mewati Ayub, Oscar Karnalim • Journal of Information Systems Engineering and Business Intelligence
(2025)
Background: Communication is important for everyone, including individuals with hearing and speech impairments. For this demographic, sign language is widely used as the primary medium of communication with others who share similar conditio...
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Open Access (DOAJ)
DOI: 10.20473/jisebi.11.1.17-29
Dimitrios Papamartzivanos, Felix Gomez Marmol, Georgios Kambourakis • IEEE Access
(2019)
The intrusion detection systems (IDSs) are essential elements when it comes to the protection of an ICT infrastructure. A misuse IDS is a stable method that can achieve high attack detection rates (ADR) while keeping false alarm rates under...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2893871
Sergio Muñoz, Carlos Á. Iglesias • Big Data and Cognitive Computing
(2024)
The proliferation of fake news threatens the integrity of information ecosystems, creating a pressing need for effective and interpretable detection mechanisms. Recent advances in machine learning, particularly with transformer-based models...
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Open Access (DOAJ)
DOI: 10.3390/bdcc8100129