A New Efficient Hybrid Technique for Human Action Recognition Using 2D Conv-RBM and LSTM with Optimized Frame Selection by Majid Joudaki, Mehdi Imani, Hamid R. Arabnia

“…These features are subsequently processed by the LSTM to capture temporal dependencies across frames, enabling effective recognition of both short- and long-term action patterns. Additionally, a smart frame selection mechanism minimizes frame redundancy, significantly lowering computational costs without compromising accuracy. …”
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AIN-Based Action Selection Mechanism for Soccer Robot Systems by Yin-Tien Wang, Zhi-Jun You, Chia-Hsing Chen

“…This AIN-based action-select provides an efficient and robust algorithm for robot role selection. …”
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Mechanism of action of polyacrylamide in selective flocculation flotation of fine coal by ZOU Wen-jie, CAO Yi-jun, SUN Chun-bao, ZHANG Zhi-jun

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Approach for Optimal Selection of Innovative Actions for Residential Heating Systems by Andrii Polyvianchuk, Vasyl Petruk, Natalia Polyvianchuk, Kovalenko Yurii, Roman Semenenko, Olga Arsenyeva

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Selective state models are what you need for animal action recognition by Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini

“…This combination of enhanced efficiency and improved performance represents a significant advancement in the field of animal action recognition. …”
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LightGBM-Based Human Action Recognition Using Sensors by Yinuo Liu, Ziwei Chen

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Agroecological assessment of herbicides application on soybean crops in the central zone of Krasnodar Territory, Russia by A. P. Savva, T. N. Telezhenko, V. A. Suvorova

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Economic Efficiency of Selected Financial System Institutions of Local Government by Urszula Rabiej

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Selective Serotonin Reuptake Inhibitors: Antimicrobial Activity Against ESKAPEE Bacteria and Mechanisms of Action by Thiago Hideo Endo, Mariana Homem de Mello Santos, Sara Scandorieiro, Bruna Carolina Gonçalves, Eliana Carolina Vespero, Márcia Regina Eches Perugini, Wander Rogério Pavanelli, Gerson Nakazato, Renata Katsuko Takayama Kobayashi

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Selective imitation for efficient online reinforcement learning with pre-collected data by Chanin Eom, Dongsu Lee, Minhae Kwon

“…The policy is trained using both buffers to increase the Q objective and imitate the actions in the dataset. To maintain resistance to poor-quality (i.e., low-reward) data, our method selectively imitates data based on reward information, thereby enhancing sample efficiency and learning speed. …”
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Multi-omics revealed the mechanism of feed efficiency in sheep by the combined action of the host and rumen microbiota by Guangchen Zhou, Junda Li, Xuhui Liang, Bohua Yang, Ximeng He, Hongyu Tang, Hongran Guo, Gongwei Liu, Wenyuan Cui, Yulin Chen, Yuxin Yang

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Towards effective implementation of building energy efficiency codes in Tripoli, Lebanon: Key actions for enforcement by Tarek Al-Soufi Al-Sukkari, Khaled El-Daghar, Kareem Galal, Ayman Afify

“…It seeks to identify the key enforcement actions taken by the Trpl-M towards the successful implementation of the Building Energy Efficiency Code (BEEC). …”
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Modeling of process and operating modes for efficient selective disintegration in coriander seed grinding by N. V. Sterekhova, S. Y. Gonezhuk, Z. A. Meretukov, M. V. Shcherbakov

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Applying the mean-variance framework: portfolio optimization and comparative performance analysis in the emerging Colombian capital market by Jairo González-Bueno, Rima Tamošiūnienė, Camilo Gómez Morales, Gladys Rueda-Barrios

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Battery Selection for Energy-Efficient IoT Devices: A Comparative Study of Longevity Across Environmental Conditions by Seyed Mohammad Hossein Nabavi, Somayeh Hajforoosh, Seyed Mohammad Amin Nabavi

“…By explicitly linking battery chemistries to application-specific needs, this study delivers actionable insights that enhance IoT performance, extend operational lifespans, and improve sustainability, paving the way for more reliable and efficient IoT systems across industries.…”
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Features of the Methods of Training Physical Exercises by Victor BUFTEA

“…For this reason, new forms, methods and means appear in the training strategies of the athletes, whose purpose is to increase the efficiency of performances, notwithstanding the degree of difficulty of the exercise technique and many other motor actions provided in the competition programs. …”
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EDGE-BASED VIDEO RECOGNITION: ADVANCING DEEP LEARNING FOR EFFICIENT VISUAL by Sai Babu Veesam, Aravapalli Rama Satish

“…The escalating prevalence of video surveillance underscores the critical necessity for precise and efficient Human Action Recognition (HAR) systems. In this study, we introduce an innovative deep learning architecture tailored for real-time HAR at the edge. …”
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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

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Forecasting of development of acute poisonings in agricultural workers while using combined formulations based on difenoconazole. by P. V. Stavnichenko, A. M. Antonenko, V. G. Bardov

“…Calculated values of CSAing (103.4-4701.2) and CSAderm (237.4-12345.7) for all investigated active substances were more than 100, this indicates to a rather high selectivity of their action. By the CSAing value formulations Celeste Top, Celeste Trio, Dinali, Cydeli Top belong to pesticides with a relatively low selectivity of action when they are inhaled by workers in the process of crops treating, the remaining formulations have a sufficient selectivity of action in inhalation intake. …”
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AI-based prediction of traffic crash severity for improving road safety and transportation efficiency by Ayman Mohamed Mostafa, Bader Aldughayfiq, Mayada Tarek, Alaa S. Alaerjan, Hisham Allahem, Murtada K. Elbashir, Mohamed Ezz, Eslam Hamouda

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