An End-to-End Brain Computer Interface System for Mental Workload Estimation through Hybrid Deep Learning Model by Vipul Sharma, Mitul Kumar Ahirwal

“…Accuracies exceeding the previous state-of-the-art studies have been obtained. In binary and ternary classification accuracies of 96.77% and 95.36%have been achieved with sevenfold cross-validation, respectively.…”
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Engaging with AI painting: exploring motivations and challenges in laypeople's creative information practices by Xiaoyu Zhang, Sicheng Zhu, Yuxiang Chris Zhao, Mingxia Jia, Qinghua Zhu

“…The advent of generative AI has democratized art creation, enabling individuals without formal training to produce visually appealing digital artworks. …”
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VERDECKTE DISKRIMINIERUNG IN DER SYSTEMATIK DER GRUNDFREIHEITEN DER EUROP/ÜSCHEN GEMEINSCHAFT by Hacı Can

“…B innenmarke der Gemeinschaft umfaBt nunmehr einen Raum ohne Binnengrenzen, in dem der freie Verkehr von Waren, Personen, Dienstleistungen und Kapital ge~rleistet ist (Art. 14 Abs. 2 EGV). Dieser ffit sich aber nicht ganz verwirklichen, wenn Marktteilnehmer anderer Mitgliedstaaten im Falle eines grenzüberschreitenden Wirtschaftsverkehrs schlechter als ibre inffindischen Konkurrenten behandelt wird. …”
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Perspectives on Soft Actor–Critic (SAC)-Aided Operational Control Strategies for Modern Power Systems with Growing Stochastics and Dynamics by Jinbo Liu, Qinglai Guo, Jing Zhang, Ruisheng Diao, Guangjun Xu

“…A two-stage method, consisting of offline training and periodic updates, is proposed to train agents to enable robust controls of voltage profiles, transmission losses, and line flows using a state-of-the-art RL algorithm, soft actor–critic (SAC). The effectiveness of the proposed RL-based control framework is validated via comprehensive case studies conducted on the East China power system with actual operation scenarios.…”
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Segment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration by Adrian Prados, Gonzalo Espinoza, Luis Moreno, Ramon Barber

“…Its effectiveness has been validated in manipulation tasks with a real robot, as well as through comparisons with state-of-the-art algorithms.…”
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Utilization Patterns and Projected Demand of Antiretroviral Drugs in Low- and Middle-Income Countries by Françoise Renaud-Théry, Carlos Avila-Figueroa, John Stover, Sigrid Thierry, Marco Vitoria, Vincent Habiyambere, Yves Souteyrand

“…We projected that between 7.1 million and 8.4 million people would be receiving ART by the end of 2012. Of these, 6.6% will be on second-line therapy. …”
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Cyber Security and Key Management Issues for Internet of Things: Techniques, Requirements, and Challenges by Mohammad Faisal, Ikram Ali, Muhammad Sajjad Khan, Junsu Kim, Su Min Kim

“…Our contribution in this paper is to summarize the state-of-the-art key management schemes and techniques in different scenarios, such as mobile ad hoc networks, wireless sensor networks, and the Internet of Things environments. …”
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Assessment of Antiretroviral Treatment Adherence among Children Attending Care at a Tertiary Hospital in Southeastern Nigeria by Cletus Akahara, Emeka Nwolisa, Kelechi Odinaka, Seline Okolo

“…The study involved a cross-sectional survey of 210 HIV-infected children attending care at a tertiary hospital in Southeastern Nigeria using self-report method of assessment. Optimal ART adherence is defined as patient taking not missing more than 1 dose of combined antiretroviral therapy medication in the preceding 2 weeks prior to the study. …”
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Mining Stack Overflow for API class recommendation using DOC2VEC and LDA by Wai Keat Lee, Moon Ting Su

“…The benchmarking of the proposed approach against state‐of‐the‐art approaches, RACK and NLP2API, by using four performance metrics show that it is possible to produce comparable API recommendation results using a less complex approach that makes use of some basic machine learning models, in particular, Doc2Vec and LDA. …”
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The Microbiota–Gut–Brain Axis: Key Mechanisms Driving Glymphopathy and Cerebral Small Vessel Disease by Che Mohd Nasril Che Mohd Nassir, Muhammad Danial Che Ramli, Mazira Mohamad Ghazali, Usman Jaffer, Hafizah Abdul Hamid, Muhammad Zulfadli Mehat, Zaw Myo Hein

“…This narrative review represents state-of-the-art knowledge of the intimate, complex interplay between microbiota and brain health through the gut–brain axis (GBA) and the emerging role of glymphatic system dysfunction (glymphopathy) and circulating cell-derived microparticles (MPs) as mediators of these interactions. …”
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Single-Frame Infrared Small Target Detection Network Based on Multibranch Feature Aggregation by Ziqiang Hao, Zheng Jiang, Xiaoyu Xu, Zhuohao Wang, Zhicheng Sun

“…Extensive experiments on the NUDT-SIRST, SIRST, and NUST-SIRST datasets demonstrate the clear superiority of our approach over other state-of-the-art infrared small target detection methods.…”
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Ambiguous Territory by Kathy Velikov, Cathryn Dwyre, Chris Perry, David Salomon

“…From parasite-vulnerable monocrops to systemic biopolitical violence upon indigenous peoples, these conditions expose the dark and unwanted externalities to the logistical algorithm that we have only recently begun to understand as deeply intertwined with each other and within all life on the planet. What can art and design do to intervene in this positive feedback loop of economic growth and environmental catastrophe? …”
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Divorcio en Buda, una noción de justicia en la ficción by Judith Nieto

“…Los tópicos abordados fueron los siguientes: exordio, a propósito de la durabilidad de las obras de arte; filosofía y literatura, un encuentro posible; sobre la comprensión, una aclaración oportuna; acerca del contenido de la novela; discursos en torno al derecho y discursos literarios; la noción de justicia en una novela; conclusión.…”
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Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer Attention by Alexandru Brateanu, Raul Balmez, Ciprian Orhei, Cosmin Ancuti, Codruta Ancuti

“…Our comprehensive experiments, both quantitative and qualitative, demonstrate that the proposed method achieves state-of-the-art performance in low-light image enhancement, highlighting its effectiveness and wide-ranging applicability. …”
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A Review on Optimizing Water Management in Agriculture through Smart Irrigation Systems and Machine Learning by Belarbi Zaid, El Younoussi Yacine

“…Through this review, we aim to provide a comprehensive overview of the state-of-the-art in ML-based ET estimation and smart irrigation technologies, contributing to the development of more resilient and efficient agricultural water management strategies.…”
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Delving into the Magdalene’s vase by Vicki-Marie Petrick

“…In the art of medieval and early modern Europe, Mary Magdalene can be identified by the vase she holds. …”
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Correlation feature and instance weights transfer learning for cross project software defect prediction by Quanyi Zou, Lu Lu, Shaojian Qiu, Xiaowei Gu, Ziyi Cai

“…By assigning weights based on the different contribution of features and instances to the predictor, the proposed approach is able to build a better CPDP model and demonstrates substantial improvements over the state‐of‐the‐art CPDP models.…”
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Paysage millénaire et développement touristique en Chine. Le cas des rizières en terrasses des Hani du Yunnan by Myriam Dao

“…Mon travail croise une approche sensible par la photographie, le paysage peint, jusqu’aux œuvres des artistes chinois de l’art contemporain, et examine les politiques patrimoniales d’aménagement du paysage. …”
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Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning by Adil Khan, Jiang Feng, Shaohui Liu, Muhammad Zubair Asghar

“…The agent is trained and tested on Doom’s basic scenario(s) where the results are compared and found to be 10% better compared to the existing state-of-the-art research work on Doom-based agents. The experiments show that the profitable and optimal frame skipping rate falls in the range of 3 to 11 that provides the best balance between the learning speed and the final performance of the agent which exhibits human-like behavior and outperforms an average human player and inbuilt game agents.…”
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A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm by Sanyi Li, Wenjie Hou, Peng Liu, Weichao Yue, Qian Wang

“…The proposed algorithm has been compared with other state-of-the-art algorithms on a series of benchmark problems, demonstrating its superior performance in optimizing DMOPs.…”
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