Dynamics and Prediction of Land Use and Land Cover Changes Using Geospatial Techniques in Abelti Watershed, Omo Gibe River Basin, Ethiopia by Melkamu Ateka Derebe, Samuel Dagalo Hatiye, Ligalem Agegn Asres

“…Maximum likelihood algorithm approach supervised classification method was used for identifying the LULC changes using satellite data to know LULC changes in the watershed. …”
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Detection of Crack Sealant in the Pretreatment Process of Hot In-Place Recycling of Asphalt Pavement via Deep Learning Method by Kai Zhao, Tianzhen Liu, Xu Xia, Yongli Zhao

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Short‐term electric power and energy balance optimization scheduling based on low‐carbon bilateral demand response mechanism from multiple perspectives by Juan Li, Yonggang Li, Huazhi Liu

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Extraction of Building Construction Time Using the LandTrendr Model With Monthly Landsat Time Series Data by Tengyun Hu, Meng Zhang, Xuecao Li, Tinghai Wu, Qiwei Ma, Jianneng Xiao, Xieqin Huang, Jinchen Guo, Yangchun Li, Donglie Liu

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Space and time joint optimization for vertical takeoff and landing aircraft in dense obstacles and interference environments by Liben Yang, Yu Li, Jianwen Tian, Dong Wang

“…This paper proposes an autonomous motion planning and anti-wind disturbance control algorithm for the VTOL, implemented spatial and temporal joint motion planning for VTOL, under the limitation of maximum flight speed of the aircraft, VTOL can achieve fully autonomous flight in complex environments, which can realize the autonomous flight of a single aircraft in a complex and dense environment, achieve real-time perception and avoidance of static and dynamic obstacles. …”
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Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles by Fatma S. Alrayes, Nazir Ahmad, Asma Alshuhail, Menwa Alshammeri, Ali Alqazzaz, Hassan Alkhiri, Jehad Saad Alqurni, Yahia Said

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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

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Land use changes and unsustainable development in the southern ranges of the Alborz ecosystem(case study: Darabad watershed by Razieh Barjandi, Hassan Esmaeilzadeh, Romina Sayyahnia

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Robust personalized pricing under uncertainty of purchase probabilities by Shunnosuke Ikeda, Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano

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Coordinated Restoration of Microgrids and Generation Units for Resilience Enhancement of Urban Power Grids by Xinrui Wang, Yuze Ji, Ruimin Tian, Helong Liu

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Research on edge offloading delay optimization of cellular networks based on optimal transport theory by Xiangyu LYU, Yong XIAO, Yi ZHONG, Qiang LI, Xiaohu GE

“…With the development of the internet of things, a large number of user device (UD) were connected to cellular network.Since the changes in the spatial distribution of UD and application requirements, it is necessary to dynamically adjust the UD’ offloading decision.Comprehensively considering various parameter information in the networks such as the spatial distribution of UD, application requirements, and the processing capability of the edge servers on the base station (BS) side, the offloading decision of UD were optimized from the perspective of distribution.Based on the optimal transport theory, a delay optimization algorithm was proposed to reduce the average delay of the UD’ computing tasks offloading process by reasonably planning the offloading BS of the UD in the networks.The simulation results show that the average delay can be reduced by 81.06% using the proposed offloading mechanism based on delay optimization, and the traffic handled by each BS is balanced.…”
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A load balanced and energy efficient underwater clustering protocol for UWSN by Xinbin LI, Mengling GAO, Lei YAN

“…Focused on the low energy efficiency and short lifetime of underwater wireless sensor network（UWSN）,a load balanced and energy efficient underwater clustering（LBEEUC）protocol for UWSN was proposed.For cluster head settings,due to the consideration of load balanced,the proportion of cluster heads based on experience-load was set.The area with high experience-load could obtain more cluster heads than other areas to process data forwarding.And then,for intra-cluster communication,some relay nodes were set to save energy of long range data transmission between cluster head and nodes.Relay nodes also could be used to eliminate redundant information by advance data fusion.Finally,for inter-cluster routing,Q-learning algorithm was used to implement optimal path planning based on the criterion of least energy consuming.The simulation results demonstrate that the LBEEUC protocol can efficiently improve the energy utilization,prolong the network lifetime and balance the energy consumption of the network.…”
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A robust tuned EfficientNet-B2 using dynamic learning for predicting different grades of brain cancer by A. A. Abd El-Aziz, Mohammed Elmogy, Sameh Abd El-Ghany

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Application of Spritz Encryption in Smart Meters to Protect Consumer Data by Lincoln Kamau Kiarie, Philip Kibet Langat, Christopher Maina Muriithi

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Automatic Estimation of Solar Rooftops and Power Generation From Publicly Available Satellite Imagery Through Georeferencing and Large-Scale Support by John Sullivan, Apichon Witayangkurn

“…The rapid increase in installations has led to a mismatch between planned power generation and actual electricity demand, necessitating effective monitoring and impact assessment. …”
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Design of Vehicle Unmanned Driving Navigation System by Zhang Yuanfu

“…Based on multi-sensor information fusion technology, combined with positioning navigation algorithm and dynamic path planning method, a high-precision and high-real-time unmanned navigation system is constructed. …”
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Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting by Yumin Dong, Huanxin Ding

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Recreational and tourist destination research methods by Tetiana Bozhuk

“…To study and synthesis of theoretical and methodological approaches to determining the conceptual and terminology used RTDe research methods and logical structure and system analysis (structural and geographic analysis); in identifying and clarifying the spatial patterns of differences in territorial organization used methods of space-time analysis; for comparative characteristics of individual properties RTDe and regional level – comparative method; to systematize information, determine the classification categories of types and subtypes RTDe – methods of systematization and classification; to study the history of RTDe, the origin of their individual components and varieties – historical-geographical method; in the present state of research, planning and organizational and functional structure of different types RTDe methods applied field research (conducted in 2006-2013 years.) poll (questionnaire), peer assessment, recording and evaluation of Christian sacred objects for the needs of tourism and recreation, mathematical logic and computer graphics, and other cartographic modeling. …”
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An Adaptive Obstacle Avoidance Model for Autonomous Robots Based on Dual-Coupling Grouped Aggregation and Transformer Optimization by Yuhu Tang, Ying Bai, Qiang Chen

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Integration of geospatial techniques and machine learning in land parcel prediction by Nekkanti Haripavan, Subhashish Dey, Chimakurthi Harika Mani Chandana

“…The integration of geospatial techniques and machine learning algorithms has revolutionized our ability to analyze and predict changes in land parcels. …”
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