Deep Learning-Driven Multi-Temporal Detection: Leveraging DeeplabV3+/Efficientnet-B08 Semantic Segmentation for Deforestation and Forest Fire Detection by Joe Soundararajan, Andrew Kalukin, Jordan Malof, Dong Xu

“…A qualitative analysis confirms the model’s ability to accurately localize fire hotspots and deforested areas. …”
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Um replicador em movimento: aproximações entre a poética narrativa de Borges e o programa de pesquisa dos memes A replicator in movement: similarities between Borges' poetic narrat... by Ricardo Waizbort, Lucia de la Rocque

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Detection of Leaf Diseases in Banana Crops Using Deep Learning Techniques by Nixon Jiménez, Stefany Orellana, Bertha Mazon-Olivo, Wilmer Rivas-Asanza, Iván Ramírez-Morales

“…Due to the high computational demands of ResNet50 and VGG19, training was performed with EfficientNetB0. The models—EfficientNetB0, ResNet50, and VGG19—demonstrated the ability to identify leaf diseases in bananas, with accuracies of 88.33%, 88.90%, and 87.22%, respectively. …”
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Key Factors Shaping Green Logistics in Thailand’s Auto Industry: An Application of Structural Equation Modeling by Wuttichai Youngswaing, Sajjakaj Jomnonkwao, Ekkapong Cheunkamon, Vatanavongs Ratanavaraha

“…<i>Results</i>: Findings indicate that government and organizational environmental policies, a company’s financial ability to implement green initiatives, commitment to eco-friendly investment, and public environmental attitudes significantly and directly affect the efficiency of green logistics. …”
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Self‐healing polymers in rigid and flexible perovskite photovoltaics by Fang‐Cheng Liang, Erdi Akman, Sikandar Aftab, Mustafa K. A. Mohammed, H. H. Hegazy, Xiujuan Zhang, Fei Zhang

“…Abstract Over the past 10 years, perovskite solar cell (PSC) device technologies have advanced remarkably and exhibited a notable increase in efficiency. Additionally, significant innovation approaches have improved the stability related to heat, light, and moisture of PSC devices. …”
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Performance Enhancement of Dye Sensitized Solar Cell (DSSC) through TiO2/rGO Hybrid: Comprehensive Study on Synthesis and Characterization by Rustan Hatib, Khairil Anwar, Ramang Magga, Muh Anjas Astak, Denny Widhiyanuriyawan, Wardoyo Wardoyo

“…This process produces rGO hybrid TiO2 photoanodes for dye-sensitized solar cells (DSSC). rGO in the TiO2 structure prevents electron recombination and improves overall efficiency. The main advantage of this method is its ability to prevent loss of rGO during the sintering process, which is a common problem with other methods. …”
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Criteria for determining the effectiveness of the law by Vladimir A. Rybakov

“…The effectiveness of the law is often understood by many authors as the ability to influence public relations in a certain direction useful for society; or as the ability to influence positively on social relations at the lowest cost; or as fundamental feasibility, predetermined by common knowledge, clarity and consistency of legal norms; the correspondence between the objectives of the legislator and development of social relations.           …”
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CHARITIES AND TAXATION: MAIN TRENDS IN COMPARATIVE PERSPECTIVE AT THE BEGINNING OF THE 21ST CENTURY by A. S. Avtonomov, V. V. Grib

“…Taxation in the modern society has become to play role of one of important and efficient instruments of the State in carrying out its social and economic policy. …”
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Efficiency of a 3-week multicomponent rehabilitation on improving the function in a patient with Friedreich’s ataxia: A case report by Samardžić Vesna

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RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention. by Jinxue Sui, Li Liu, Zuoxun Wang, Li Yang

“…The widespread cultivation of apples highlights the importance of efficient and accurate apple detection algorithms in robotic picking technology. …”
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Efficient microstructure segmentation in three-dimensional imaging: Combining few-shot learning with the segment anything modelEarth/Chem by Po-Yen Tung, Richard J. Harrison

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An efficient hybrid algorithm based on particle swarm optimisation and teaching‐learning‐based optimisation for parameter estimation of photovoltaic models by Dianlang Wang, Zhongrui Qiu, Qi Yin, Haifeng Wang, Jing Chen, Chengbi Zeng

“…In PSOTLBO, inspired by the learner phase of teaching‐learning‐based optimisation (TLBO), an improved learner phase is designed and introduced into the basic PSO to enhance the global search ability and the ability to get rid of local optimum. …”
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Natural and Anthropogenic Determinants of Productivity, Emission Intensity and Environmental Efficiency of Central Asian Countries Against a Worldwide Background by Altyn Shayakhmetova, Dmitriy Il, Anargul Belgibayeva, Arkadiusz Sadowski, Natalia Genstwa-Namysł, Jagoda Zmyślona, Aigul Timurbekova, Ainagul Kaliyeva, Shynar Arynova, Irina Chidunchi, Kulbaram Bayazitova, Galiya Tumenova, Yerzhan Sagatbayev, Sergey Pashkov

“…As shown in this study, land productivity and environmental efficiency of production depend on natural factors, while the actual ability to meet each nation’s food needs depends on human activity, including primary measures taken to improve environmental efficiency within natural limits.…”
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Energy Efficiency Strategy in D2D Cognitive Networks Using Channel Selection Based on Game Theory and Collaboration by Elena Romero, Javier Blesa, Alba Rozas, Alvaro Araujo

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Improving inverter efficiency for electric vehicles: Experimental validation of the neural network-based SHE technique using RT-LAB by Seyf Eddine Bechekir, Mokhtaria Jbilou, Mostefa Brahami, Fatima Zohra Boudjella, Imen Souhila Bousmaha, Mimouna Oukli, Said Nemmich

“…The study highlights the neural network-based SHE technique's advantages, including its ability to model complex systems, robustness to noisy data, and versatility. …”
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EVALUATION OF ORGANIC MATTER REMOVAL EFFICIENCY FROM PIGGERY WASTEWATER TREATMENT BY THE UPFLOW SLUDGE BLANKET FILTRATION (USBF) SYSTEM by Văn Thoại Mỹ, Nguyễn Minh Kỳ, Bùi Trâm Anh

“…USBF as an advanced biological process had a pollutants removal efficiency from piggery wastewater.…”
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Binarized Neural-Network Parallel-Processing Accelerator Macro Designed for an Energy Efficiency Higher Than 100 TOPS/W by Yusaku Shiotsu, Satoshi Sugahara

“…A binarized neural-network (BNN) accelerator macro is developed based on a processing-in-memory (PIM) architecture having the ability of eight-parallel multiply-accumulate (MAC) processing. …”
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LabOps: A flexible self-hosted workflow of open source tools for efficient collaboration within research laboratories. by Héctor D García-Verdugo, Cristian Román-Palacios

“…Effective collaboration, essential for success in academic environments, often requires efficient team communication and access to a team-oriented digital infrastructure. …”
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Effect of airflow rate and honeycomb channels addition on the efficiency of bagasse-fuelled top-lit updraft (TLUD) gasification stove by Clarissa Putri Sholeha, Muhammad Trifiananto, Mahros Darsin, Andi Sanata, Imam Sholahuddin, Ariyo Anindito

“…In addition to the fuel aspect, the ability of the gasification stove to produce good thermal efficiency depends on the stove design, such as stove type, stove dimensions, and combustion airflow rate. …”
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Efficient TD3 based path planning of mobile robot in dynamic environments using prioritized experience replay and LSTM by Yunhan Lin, Zhijie Zhang, Yijian Tan, Hao Fu, Huasong Min

“…The proposed method, named PL-TD3, integrates prioritized experience replay (PER) and long short-term memory (LSTM) neural networks, which enhance both sample efficiency and the ability to handle time-series data. …”
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