Advancing Sustainability Through Artificial Intelligence: Implications for Firm Value in Indonesia by Dendi Mulyana, Aristanti Widyaningsih, Rozmita Dewi Yuniarti Rozali

Subjects: “…artificial intelligence adoption; esg performance; firm value.…”
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An intelligent switching scheme to improve the reliability of power distribution network communication by XU Tao, XU Sheng, QUAN Hanbin, HONG Huanhua, HOU Jingying, CHEN Xiaohui, SU Lei, WU Shifan, DENG Yazhi

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Application of New Intelligent Anti-flood Equipment Series in Underground Engineering by LIU Jun, WU Zhisong, CHE Lunfei, CAI Chongqing, LI Guodong, HU Haoming, LIU Qi, YU Ze

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Music and Rhymes as Mechanisms for ECCE Learners’ Socio-emotional Intelligence Development by Avosuahi Deborah Arasomwan, Glynnis Daries

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Algorithm for intelligent collaborative target search and trajectory planning of MAV/UAV by Zhuo LU, Qihui WU, Fuhui ZHOU

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Digital twin based intelligent urban traffic forecasting and guidance strategy by Xiwen LIAO, Supeng LENG, Yujun MING, Tianyang LI

“…As the technology of ubiquitous Internet of things and artificial intelligence improves by leaps and bounds, the transportation system revolution is flourishing and bringing new opportunities and challenges.Considering the defect in the existing navigation system, and the neglect of the temporal and spatial characteristics of traffic flow, the macro traffic network and micro vehicle network were modeled and their coupling relationship was mined.Then, a digital twin based urban traffic forecasting and guidance method was proposed to alleviate the problem of traffic congestion.The spatial-temporal traffic flow information was predicted through the diffusion convolution recurrent neural network, which was explicitly applied to the vehicle path planning decision.On this basis, a spatial-temporal collaborative deep reinforcement learning method was proposed to implement the future-oriented collaborative path planning of vehicles.It also guided the underlying vehicle twins to select the optimal strategy for the real world.With SUMO for simulation verification, the experimental results show that the proposed method is significantly better than the existing algorithms in improving the travel completion ratio and congestion relief, and can improve the efficiency of urban traffic travel.…”
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Modelling and optimization of well hole cleaning using artificial intelligence techniques by Nageswara Rao Lakkimsetty, Hassan Rashid Ali Al Araimi, G. Kavitha

Subjects: “…Artificial intelligence…”
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Artificial Intelligence in Public Relations and Communication Management: Perspectives of Ghanaian Professionals by Albert Anani-Bossman, Noel Nutsugah, Justice Issah Abudulai

Subjects: “…Artificial Intelligence…”
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Spectrum knowledge graph: an intelligent engine facing future spectrum management by Jiachen SUN, Jinlong WANG, Guoru DING, Jin CHEN, Yuping GONG

“…To solve the issues of simple representations on spectrum situation, much dependence on artificial experience in manual management and low efficiency and accuracy in the current spectrum management, meeting the requirements of automation, precision and real time for future spectrum management, the theory and technology of knowledge graph were introduced into spectrum management.The definition of spectrum knowledge graph, the knowledge schema it depends on and its representation in the form of triples were proposed.The intelligent spectrum management framework based on spectrum knowledge graph, consisting of the graph layer, the equipment layer and the scenario layer, was constructed.Typical applications based on spectrum knowledge graph were discussed, including the recommendation system for spectrum usage, the search engine on spectrum management, and question answering for spectrum management.Experiments demonstrate the spectrum knowledge graph can play a role of guidance by spectrum knowledge in spectrum usage recommendation.…”
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Institutional Study of the European Union Intelligence and Situation Centre (EU INTCEN) by A. I. Pozharov, S. A. Karyukin

Subjects: “…eu intelligence and situational centre…”
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Overview of research on fiber nonlinear equalization algorithm based on artificial intelligence by Yajie LI, Yongli ZHAO, Shoudong LIU, Jie ZHANG

“…The necessity and importance of nonlinear equalization algorithm in optical transmission systems were outlined.The principle of classical nonlinear equalization algorithm was described,and the shortcomings and limitations of classical algorithms were presented.Combined with the status in recent years,four kinds of nonlinear equalization algorithms based on artificial intelligence were introduced in detail.These algorithms include artificial neural networks,support vector machine,unsupervised clustering and deep neural network.All the nonlinear equalization algorithms mentioned were compared in terms of performance,complexity,instantaneity and application flexibility.Finally,the future development trend of nonlinear equalization algorithm based on artificial intelligence was analyzed.…”
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Assessing the Complexity of Intelligent Parks’ Internet of Things Big Data System by Jialu Liu, Renzhong Guo, Zhiming Cai, Wenjian Liu, Wencai Du

“…Today, intelligence in all walks of life is developing at an unexpectedly fast speed. …”
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Research on the impact of artificial intelligence technology on urban public health resilience by Erdong Chen, Huaxin Zhang

Subjects: “…artificial intelligence…”
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The impact of artificial intelligence on organizational performance: The mediating role of employee productivity by Belayneh Yitayew Kassa, Eyob Ketema Worku

Subjects: “…Artificial Intelligence…”
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Intelligent Demand Response Resource Trading Using Deep Reinforcement Learning by Yufan Zhang, Qian Ai, Zhaoyu Li

“…With the liberalization of the retail market, customers can sell their demand response (DR) resources to the distribution company (Disco) through the DR aggregator (DRA). In this paper, an intelligent DR resource trading framework between Disco and DRA is proposed by exploiting the benefits of deep reinforcement learning (DRL). …”
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Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis by Priya Kataria, Srivenkata Madhu, Madhu K. Upadhyay

Subjects: “…artificial intelligence…”
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Optimization and Experimental Study of an Intelligent Bamboo-Splitting Machine Charging Manipulator by Tian-Hu Liu, Yong-Lu Wen, Gui-Qi Li, Xiang-Ning Nie

“…However, manual charging is very dangerous. An intelligent bamboo-splitting machine can feed automatically and change tools intelligently and has broad application prospects. …”
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Harnessing Artificial Intelligence for ESL Assessments: Efficiency, Challenges, and Future Directions by Seyed Reza Abedi, Farnaz Divanpour, Seyed Reza Molaee, Hailay Tesfay Gebremariam

Subjects: “…Artificial Intelligence…”
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Intelligent route planning method with jointing topology control of UAV swarm by Zhi YAN, Zhenglun YI, Bo OUYANG, Yaonan WANG

“…Existing routing protocols without awareness of the topology causes excessive retransmissions, energy holes, and long delay, data routing performance was seriously deteriorated.Considering the relation of topology and routing, an intelligent route planning with jointing topology control (IRPJTC) method was proposed.IRPJTC consisted of two part, the virtual force-based adaptive topology control (VFATC), and the PPO-based geographic routing protocol (PPO-GRP).Based on neighbor’s mobility information, the distance between UAVs was adaptively adjusted by VFATC to provide stable links between UAVs.Combined with link stability metric in VFATC, end-to-end delay and energy consumption, a multi-objective reward function was designed by PPO-GRP to train optimal routing strategy.According to the performance study, the proposed IRPJTC reduces existing routing protocols by 12.11% of end-to-end delay, and 4.56% of energy consumption, and has a better energy balance ability.…”
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Intelligent Controller Design for Quad-Rotor Stabilization in Presence of Parameter Variations by Oualid Doukhi, Abdur Razzaq Fayjie, Deok Jin Lee

“…The results of the numerical simulation using gazebo physics engine simulator and real-time experiment using AR drone 2.0 test bed demonstrate the effectiveness of this intelligent control strategy which can improve the robustness of the whole system and achieve accurate trajectory tracking control, comparing it with the conventional proportional integral derivative (PID).…”
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