Article
Neurosciences
Hiromichi Tsukada, Minoru Tsukada
Summary: The spatiotemporal learning rule proposed based on hippocampal neurophysiological experiments is fundamentally different from the Hebbian learning rule in terms of self-organization mechanism, as demonstrated in simulating neural network models trained on similar spatiotemporal context information. Comparison of weight distributions and responses to temporal changes in contextual information revealed significant differences between the two learning rules.
FRONTIERS IN SYSTEMS NEUROSCIENCE
(2021)
Article
Computer Science, Software Engineering
Parminder Kaur, Avleen Malhi, Husanbir Pannu
Summary: This article proposes a cross-modal information retrieval approach for real in vivo gastrointestinal images and linguistic cues. The approach involves individual modality feature learning and fusion of two trained networks to handle the heterogeneity gap issue among modalities. The results show the efficacy of the algorithm in aiding gastroenterologists in decision making.
Article
Computer Science, Artificial Intelligence
Yakov Kazanovich, Roman Borisyuk
Summary: The FaRe model utilizes a two-stage system for familiarity recognition of different types of images. It extracts image parameters in the first stage and makes decisions using a neural network in the second. The model demonstrates high capacity for familiarity recognition memory of natural pictures, but low capacity for abstract images and random patterns.
Article
Biology
Hannah C. Goldbach, Bradley Akitake, Caitlin E. Leedy, Mark H. Histed
Summary: The study demonstrated that silencing visual responses in secondary visual areas is required even for simple visual tasks. It was found that pathways through secondary visual areas are necessary for visual behaviors.
Article
Cell & Tissue Engineering
Alessandro Blasimme, Jeremy Sugarman
Summary: Human pluripotent stem cells have the potential to create in vitro models that mimic post-implantation human embryos. However, ethical concerns arise from such integrated embryo models, and it is necessary to address them in order to establish appropriate policies and regulations that support scientific innovation and medical progress.
Article
Multidisciplinary Sciences
Julian Freedland, Fred Rieke
Summary: This study investigates the key spatial features in natural scenes that shape the encoding of primate parasol RGCs, and validates the findings through simplified stimuli and modeling.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Automation & Control Systems
Ahmad M. El-Nagar, Ahmad M. Zaki, F. A. S. Soliman, Mohammad El-Bardini
Summary: A hybrid deep learning neural network controller (HDLNNC) for nonlinear systems is proposed in this paper, and experimental results show that the proposed controller can improve system performance compared to other controllers.
INTERNATIONAL JOURNAL OF CONTROL
(2023)
Article
Biology
Luis S. Mayorga
Summary: Cells are open systems that exchange energy and molecules with the environment. In order to maintain homeostasis and function, they need to decrease activation energy through enzymatic reactions, which is a complex solution to maintain the system in a stable state.
Article
Automation & Control Systems
Kang Wang, Hongbo Bi, Yi Zhang, Cong Zhang, Ziqi Liu, Shuang Zheng
Summary: This article proposes a novel framework for camouflaged object detection (COD), named (DC)-C-2-Net, which includes two new modules: Dual-branch features extraction (DFE) and gradually refined cross fusion (GRCF). The framework outperforms 13 state-of-the-art deep learning-based methods on three public datasets and shows successful applications in surface defect detection and medical image segmentation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Cell & Tissue Engineering
Ayaka Yanagida, Daniel Spindlow, Jennifer Nichols, Anish Dattani, Austin Smith, Ge Guo
Summary: Researchers have developed a human embryo model called blastoid through self-organization, which can form blastocyst-like structures within a short period of time, displaying three tissue layers and mimicking natural blastocysts. Single-cell transcriptome analysis confirms the high fidelity of the blastoid model, providing a versatile and scalable experimental model for human embryo research.
Article
Computer Science, Artificial Intelligence
Samvel Mkhitaryan, Philippe Giabbanelli, Maciej K. Wozniak, Gonzalo Napoles, Nanne De Vries, Rik Crutzen
Summary: FCMpy is an open-source Python module that provides tools for building and analyzing Fuzzy Cognitive Maps (FCMs) in end-to-end projects. It allows users to derive fuzzy causal weights, implement machine learning algorithms, and conduct scenario analysis. The module aims to facilitate the development and testing of FCM models for researchers from various fields.
PEERJ COMPUTER SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Qingyun Yu, Haolin Yang, Kuo-Yi Lin, Li Li
Summary: The study proposes dynamic dispatching rules based on self-organization (DDRSO) to optimize scheduling schemes through interaction, coordination, and competition, considering hot lots and transient bottlenecks. DDRSO achieves improvements in MOV, TH and ODR by 4.9%, 9.06% and 20.23% respectively, while the extended E-DDRSO outperforms DDRSO across all workload levels. Additionally, E-DDRSO shows better performance compared to a flexible dispatching method BPSO-SVM, especially in terms of reducing cycle time by 16.51%.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Computer Science, Artificial Intelligence
Parminder Kaur, Avleen Kaur Malhi, Husanbir Singh Pannu
Summary: This paper proposes a novel unsupervised cross-modal retrieval framework based on associative learning. By training traditional SOMs for images and collateral text separately and associating them using the Hebbian learning network, the cross-modal retrieval process is facilitated. Experimental results demonstrate that the presented technique outperforms various existing state-of-the-art approaches.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Feng Ni, Junnian Wang, Jialin Tang, Wenjun Yu, Ruihan Xu
Summary: In this paper, an improved lightweight convolutional neural network is constructed based on the feature fusion network for side-channel analysis. The experimental results show that the new network has faster convergence, better robustness, and higher accuracy. Compared with traditional neural network methods, it has higher heat value and more concentration in the key interval.
Article
Computer Science, Information Systems
Xiaojun Ma, Ziyao Li, Guojie Song, Chuan Shi
Summary: In graph convolutional networks, the importance of different nodes in a neighborhood varies. We propose a framework of conducting graph convolutions using adaptive receptive fields (ARFs) to address the smoothness issue of soft attention weights and efficiently explore long-distance dependencies. We further introduce GRARF as an instance, which achieves state-of-the-art performances and shows more robustness against neighborhood noises compared to attention models.
SCIENCE CHINA-INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Shaista Hussain, Shih-Chii Liu, Arindam Basu
NEURAL COMPUTATION
(2015)
Article
Computer Science, Artificial Intelligence
Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Lee Wang Wei, Arindam Basu
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2016)
Article
Neurosciences
Shaista Hussain, Arindam Basu
FRONTIERS IN NEUROSCIENCE
(2016)
Article
Cell Biology
Shaista Hussain, Xavier Le Guezennec, Wang Yi, Huang Dong, Joanne Chia, Ke Yiping, Lee Kee Khoon, Frederic Bard
MOLECULAR BIOLOGY OF THE CELL
(2017)
Article
Computer Science, Artificial Intelligence
Shaista Hussain, Ayesha Anees, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Graham Wright, Amit Singhal
Article
Chemistry, Multidisciplinary
Karkulali Pugalenthi, Pham Luu Trung Duong, Jaehyeok Doh, Shaista Hussain, Mark Hyunpong Jhon, Nagarajan Raghavan
Summary: This study presents a particle filter-based online prognostic framework for damage prognosis of composite laminates due to crack-induced delamination and fiber breakage. The optimized crack growth propagation model deduces the jump energy/inflection point online to predict damage growth progression accurately.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan
Summary: PHM plays a key role in the Industry 4.0 revolution by providing smart predictive maintenance solutions. The main challenges include early failure detection and prediction of remaining useful life (RUL). While model-based and data-driven methods are used for RUL estimation, data-driven methods often lack the extensive failure data needed for accuracy.
Proceedings Paper
Computer Science, Artificial Intelligence
Shaista Hussain, Luu Trung Pham Duong, Nagarajan Raghavan, Mark Hyunpong Jhon
TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Shaista Hussain, Ayesha Anees, Ankit K. Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Graham Wright, Amit Singhal
TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Jing Yang Lee, Ankit K. Das, Shaista Hussain, Yang Feng
TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING
(2020)
Proceedings Paper
Engineering, Aerospace
Pham Luu Trung Duong, Nagarajan Raghavan, Shaista Hussain, Mark Hyunpong Jhon
2020 IEEE AEROSPACE CONFERENCE (AEROCONF 2020)
(2020)
Article
Computer Science, Information Systems
Pham Luu Trung Duong, Shaista Hussain, Mark Hyunpong Jhon, Nagarajan Raghavan
Proceedings Paper
Engineering, Electrical & Electronic
Shaista Hussain, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Arun Kumar, Graham Wright, Amit Singhal
PROCEEDINGS OF THE 2019 IEEE REGION 10 CONFERENCE (TENCON 2019): TECHNOLOGY, KNOWLEDGE, AND SOCIETY
(2019)
Proceedings Paper
Mathematical & Computational Biology
Shaista Hussain, Tan May Ling, Xavier Le Guezennec, Frederic Bard
PROCEEDINGS OF 2018 6TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (ICBCB 2018)
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Shaista Hussain, Arindam Basu
2016 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
(2016)