Artificial neural networks for stability analysis and simulation of delayed rabies spread models by Ramsha Shafqat, Ateq Alsaadi

“…This approach aimed to expand our understanding of rabies transmission, illustrating the potential of advanced mathematical tools and machine learning in epidemiological modeling.…”
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Identifikasi Morfologi Tumbuhan Kantong Semar (Nepenthes Sp.) Sebagai Bahan Ajar Tumbuhan Tingkat Tinggi Di Kawasan Wisata Gunung Galunggung Kabupaten Tasikmalaya by Rinaldi Rizal Putra, Rita Fitriani

“…In addition to showing the natural tourism, Mount Galunggung is also a media for learning high-level plants for developing science in the university. …”
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Visualizing the Future of Knowledge Sharing in SMEs in the Construction Industry: A VOSviewer Analysis of Emerging Trends and Best Practices by Salvador López, Víctor Yepes

“…Finally, the paper suggests future trends in KS and KT, emphasizing the importance of collaboration, continuous learning, technological capabilities, and developing a suitable organizational culture and structure for open innovation in the construction industry. …”
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Impact of digital greening synergistic transformation on urban economic resilience in China: Evidence from quasi-natural experiments by Liangen Zeng, Meiyu Wen, Chengming Li, Yang Nie, Saige Wang

“…The main findings are as follows. (1) DGST notably enhances urban economic resilience, showing stronger effects than standalone pilot projects. (2) DGST strengthens economic resilience by enhancing defence, adaptation and learning capacities through labour absorption, industrial structure optimisation and green technology innovation. (3) The effect of DGST on economic resilience is influenced by factors such as human capital, financial resources and infrastructure, with cities possessing greater resources deriving more substantial benefits. (4) Cities that implemented ‘Low-Carbon Cities’ prior to ‘Broadband China’ experienced more pronounced improvements in economic resilience. …”
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Application of IoT and Cloud Computing in Automation of Agriculture Irrigation by Khongdet Phasinam, Thanwamas Kassanuk, Priyanka P. Shinde, Chetan M. Thakar, Dilip Kumar Sharma, Md. Khaja Mohiddin, Abdul Wahab Rahmani

“…This system is designed to measure soil moisture and humidity and then process this data in the cloud using a variety of machine learning techniques. Farmers are given the correct information about water content rules. …”
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The Effect of Active-Participant Experiments upon the Skills of Nursery Class Students to Recognize Measuring Instruments by Ozkan Sapsaglam, Aykut Emre Bozdogan

“… Preschool children learn through their senses. Children learn language, daily life skills, concepts and many other things through their senses. …”
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Estimation of Fresh and Hardened Properties of Self-Compacting Concrete by Optimized Radial Basis Function Methods by David Cadasse, Antonio Fontana

“…It is observed that the developed models have performance evaluation indices in reasonable value in the learning and testing section. All in all, the RBFNN model developed by AOA outperforms others, with R2 values at 0.9607 (slump flow), 0.9651 (L-box), 0.9905 (V-funnel test), and 0.9934 (compressive strength), which depicts the capability of this algorithm for determining the optimal parameters of the RBFNN, While, it is worth mentioning than the model developed with GOA algorithm is also powerful.…”
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Radial and Sigmoid Basis Function Neural Networks in Wireless Sensor Routing Topology Control in Underground Mine Rescue Operation Based on Particle Swarm Optimization by Mary Opokua Ansong, Hong-Xing Yao, Jun Steed Huang

“…Computer simulation results showed that the neural network learning algorithm minimized the error between the neural network output and the desired output such that final error values were either the same as the error goal or less than the error goal. …”
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ERP and Behavioral Effects of Physical and Cognitive Training on Working Memory in Aging: A Randomized Controlled Study by Patrick D. Gajewski, Michael Falkenstein

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A Deep Graph-Embedded LSTM Neural Network Approach for Airport Delay Prediction by Weili Zeng, Juan Li, Zhibin Quan, Xiaobo Lu

“…On this basis, a diffusion convolution kernel is constructed to capture characteristics of delay propagation between airports, and it is further integrated into the sequence-to-sequence LSTM neural network to establish a deep learning framework for delay prediction. We name this model as deep graph-embedded LSTM (DGLSTM). …”
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Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis by Lei Cui, Shuai Zhao, Hai long Teng, Biao Yang, Qian Liu, An Qin

“…This study utilized 209,268 osteosarcoma cells from the GEO database to identify integrin-associated genes using advanced analysis methods. A novel machine learning framework combining 10 algorithms was developed to construct an Integrin-related Signature (IRS), which demonstrated robust predictive power across multiple datasets. …”
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A moderated mediation model of the relationship between Indian elementary school teachers' autonomy and perceived ease of ICT use by Arnab Kundu, Tripti Bej

“…Abstract In the 21st century, Information and Communication Technology (ICT) is a critical component of innovative teaching and learning. This study looked at the impact of teachers' autonomy on their perceived ease of using ICT and the intricate relationship between the two, involving their self‐efficacy, job satisfaction, and perceived incentives to change. …”
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Building Sustainable Digital Education in India: Transformation through Equity, Inclusion and Accessibility by Rajiv Kumar Singh, Alka Singh

“…The paper delves into the intersection of digital transformation and education, emphasizing its potential to revolutionize the learning experience, empower learners, and engage society. …”
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Teaching Dialogue and Polylogue to Non-Linguistic Students: Competence-Based Approach by I. E. Abramova, O. M. Sherekhova

“…Competence-based approach to the use of practice-oriented technologies and the creation of an innovative learning environment is the current trend of Russian higher education. …”
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COOPERATIVE ASSESSMENT WRITING PRACTICES AT AN ACEHNESE PRIVATE UNIVERSITY: HELPING OR TROUBLING? by Saiful Akmal, Syarifah Dahliana, Rani Fadhila

“…Therefore, it is recommended that students make their errors and mistakes diary notes and lecturers are advised to start making grammar errors and mistakes checklists based on the learning objectives for students’ peer reviewing practice. …”
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Evolving techniques in sentiment analysis: a comprehensive review by Mahander Kumar, Lal Khan, Hsien-Tsung Chang

“…It explores a spectrum of methodologies, from classical word embedding techniques and machine learning algorithms to recent contextual embedding and advanced transformer models like Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), and T5. …”
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An Enhancement Deep Feature Extraction Method for Bearing Fault Diagnosis Based on Kernel Function and Autoencoder by Fengtao Wang, Bosen Dun, Xiaofei Liu, Yuhang Xue, Hongkun Li, Qingkai Han

“…Firstly, kernel function is employed to enhance the feature learning capability, and a new AE is designed termed kernel AE (KAE). …”
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Algorithmic emergence? Epistemic in/justice in AI-directed transformations of healthcare by Imo Emah, SJ Bennett

“…Moves toward integration of Artificial Intelligence (AI), particularly deep learning and generative AI-based technologies, into the domains of healthcare and public health have recently intensified, with a growing body of literature tackling the ethico-political implications of this. …”
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A New Formulation on Seismic Risk Assessment for Reinforced Concrete Structures with Both Random and Bounded Uncertainties by Xiao-Xiao Liu, Yuan-Sheng Wang

“…An effective method based on active learning Kriging model (ALK) is introduced to approximate the performance function in the region of interest rather than in the overall uncertain space. …”
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Global progress in competitive co-evolution: a systematic comparison of alternative methods by Stefano Nolfi, Paolo Pagliuca

“…In this respect, competitive co-evolution is a widespread technique in which the coexistence of different learning agents fosters adaptation, which in turn makes agents experience continuously varying environmental conditions. …”
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