Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing by He Jiang, Yan Zhao, Hang Zhou

“…An operating framework of distributed power system is presented based on offload strategy of mobile edge computing (MEC) and optimal allocation of computational quantity. Second, a novel hierarchical dispatching model is established based on the optimal configuration of MEC. …”
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Modeling Reader's Emotional State Response on Document's Typographic Elements by Dimitrios Tsonos, Georgios Kouroupetroglou

“…We introduce a set of mapping rules showing how PAD vary on the discrete values of font style and font type elements. …”
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Trust-Based Access Control Model from Sociological Approach in Dynamic Online Social Network Environment by Seungsoo Baek, Seungjoo Kim

“…Moreover, we provide novel criteria to evaluate trust factors such as sociological approach and evaluate a method to calculate the dynamic trust values. …”
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Application of Escape Discrete Differential Evolution Algorithm in Optimal Design of Gear Transmission by Che Linxian, Yi Jian, He Bing

“…The experimental and analytical results show that this novel algorithm has good robustness and reliability and is better than compared ones in term of the comprehensive index. …”
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Application of Fuzzy Inference System in Gas Turbine Engine Fault Diagnosis Against Measurement Uncertainties by Shuai Ma, Yafeng Wu, Zheng Hua, Linfeng Gou

“…This study proposes a novel FDI strategy that effectively addresses measurement uncertainties.…”
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Probabilistic-fuzzy programming model with chance-constrained to optimize wastewater treatment plants: A case study with the Bantul wastewater treatment plant layout by Armanda Adiqya May Dwi, Sutrisno, Sunarsih, Widowati, Kartono

“…This study introduces a novel optimization approach, employing chance-constrained probabilistic-fuzzy uncertain programming, to enhance the efficiency of facultative ponds in wastewater management systems. …”
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Behavior Intention Derivation of Android Malware Using Ontology Inference by Jian Jiao, Qiyuan Liu, Xin Chen, Hongsheng Cao

“…This paper proposes a novel description and derivation model of Android malware intention based on the theory of intention and malware reverse engineering. …”
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Slax: a composable JAX library for rapid and flexible prototyping of spiking neural networks by Thomas M Summe, Siddharth Joshi

“…By streamlining the implementation and evaluation of novel SNN learning algorithms, Slax aims to facilitate research and development in this promising field.…”
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Understanding the Anticontagion Process and Reopening of China during COVID-19 via Coevolution Network of Epidemic and Awareness by Lingbo Li, Ying Fan, An Zeng, Zengru Di

“…The novel coronavirus (COVID-19) pandemic is intensifying all over the world, but some countries, including China, have developed extensive and successful experience in controlling this pandemic. …”
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Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques by E. Castillo, D. P. Morales, A. García, F. Martínez-Martí, L. Parrilla, A. J. Palma

“…This paper illustrates the application of the discrete wavelet transform (DWT) for wandering and noise suppression in electrocardiographic (ECG) signals. A novel one-step implementation is presented, which allows improving the overall denoising process. …”
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A Conceptual COLREGs-based Obstacle Avoidance Algorithm Implementing Dynamic Path Planning and Collision Risk Assessment by Hasan Uğurlu, Omar Djecevic, Ismail Çiçek

“…The algorithm also has the potential to serve as a decision support system on currently manned vessels, enhancing safe navigation. The study proposes a novel rule-based collision avoidance algorithm that adheres to COLREGs, utilizes the Collision Risk Index and ship domain for safety assessment, and combines dynamic path planning for collision-free navigation. …”
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Molecular Generation and Optimization of Molecular Properties Using a Transformer Model by Zhongyin Xu, Xiujuan Lei, Mei Ma, Yi Pan

“…Generating novel molecules to satisfy specific properties is a challenging task in modern drug discovery, which requires the optimization of a specific objective based on satisfying chemical rules. …”
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Urban Traffic Flow Forecasting Based on Graph Structure Learning by Guangyu Huo, Yong Zhang, Yimei Lv, Hao Ren, Baocai Yin

“…We propose a novel framework for urban traffic flow forecasting, which simultaneously infers and utilizes the relationship between time series. …”
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TAPS Responsibility matrix: a tool for responsible data science by design by Visara Urovi, Remzi Celebi, Chang Sun, Parveen Kumar, Linda Rieswijk, Michael Erard, Arif Yilmaz, Kody Moodley, Michel Dumontier

“…While novel frameworks supporting open-science are being proposed, there are currently no frameworks that focus on the responsibilities within a data-science project. …”
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THE PSEUDO-SLAVIC REALIA IN PSEUDO-ETHNIC FANTASY: THE ISSUES OF TRANSLATION INTO THE RUSSIAN LANGUAGE by Nadezhda V. Rabkina

“…The object of the study was the vocabulary used to denote pseudo-Slavic realities in the novel Shadow and Bone by Leigh Bardugo and its film adaptation, as well as the translation techniques employed by the Russian translators. …”
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Robustness of performance during domain change in an esport: A study of within-expertise transfer. by Joe Thompson, Justin W O'Camb, Robin C A Barrett, Scott Harrison, Mark R Blair

“…Research on the transfer of skill from the circumstances in which it was learned to partially or completely novel tasks or situations is a foundational topic in the study of learning, memory, education, and expertise. …”
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A New Fuzzy Logic-Based Similarity Measure Applied to Large Gap Imputation for Uncorrelated Multivariate Time Series by Thi-Thu-Hong Phan, André Bigand, Émilie Poisson Caillault

“…In this way, we propose using a novel fuzzy weighting-based similarity measure. The proposed method involves three main steps. …”
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A Formal Approach to Road Safety Assessment Using Traffic Conflict Techniques by Oumaima Barhoumi, Mohamed H. Zaki, Sofiene Tahar

“…As such, formal methods provide a novel way to model traffic rules and verify road users' compliance. …”
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Sleep stages classification based on feature extraction from music of brain by Hamidreza Jalali, Majid Pouladian, Ali Motie Nasrabadi, Azin Movahed

“…Sleep stages classification one of the essential factors concerning sleep disorder diagnoses, which can contribute to many functional disease treatments or prevent the primary cognitive risks in daily activities. In this study, A novel method of mapping EEG signals to music is proposed to classify sleep stages. …”
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Preference learning based deep reinforcement learning for flexible job shop scheduling problem by Xinning Liu, Li Han, Ling Kang, Jiannan Liu, Huadong Miao

“…Finally, comparative experiments on FJSP benchmark instances of varying sizes demonstrate that PBMP outperforms traditional scheduling strategies such as dispatching rules, OR-Tools, and other deep reinforcement learning (DRL) algorithms, achieving superior scheduling policies and faster convergence. …”
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