Toward High-Resolution UAV Imagery Open-Vocabulary Semantic Segmentation by Zimo Chen, Yuxiang Xie, Yingmei Wei

“…While open-vocabulary semantic segmentation (OVSS) leverages vision-language models like CLIP to enable flexible class recognition, existing methods are limited to low-resolution images, hindering their applicability to high-resolution UAV data. …”
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Security protection method based on mimic defense and Paillier encryption for smart IoT terminals by GU Tiansheng, ZENG Fukang, SHAO Sisi, NIE Yijun, JI Zongkai, ZHENG Yulu, SHI Yuchen, LIU Shangdong, JI Yimu

“…Then, a secure blind signature with Paillier encryption (SBSPE) algorithm was designed in this architecture to safeguard the data and privacy of the edge-area smart terminals throughout the data processing lifecycle of edge-area smart terminals. …”
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Detection of disease on nasal breath sound by new lightweight architecture: Using COVID-19 as an example by Jiayuan She, Lin Shi, Peiqi Li, Ziling Dong, Renxing Li, Shengkai Li, Liping Gu, Zhao Tong, Zhuochang Yang, Yajie Ji, Liang Feng, Jiangang Chen

“…A Dense-ReLU-Dropout model was trained with K-fold cross-validation (K = 3), and performance metrics like accuracy, precision, recall, and F1-score were used to evaluate the model. …”
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir, Aiman Erbad, Bechir Hamdaoui, Samir Brahim Belhaouari, Mohsen Guizani, Thang X. Vu

“…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …”
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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…This research study proposes an automatic diagnostics prediction of leukemia by analyzing blood images according to the shape of the blast cells using digital image processing and machine learning. The purpose of blood cell detection is to precisely identify and classify diverse blood cells, detecting anomalies associated with blood cancers like leukemia. …”
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Interpreting Contents in Social Network using Some Generic Rules with Abstract Propositions by Maryam Tayefeh Mahmoudi, Amirmansour Yadegari, Parvin Ahmadi, Kambiz Badie

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Revealing the Next Word and Character in Arabic: An Effective Blend of Long Short-Term Memory Networks and ARABERT by Fawaz S. Al-Anzi, S. T. Bibin Shalini

“…The pronunciation dictionary, language model, and acoustic model were further derived from the MFCCs’ features. These output data were processed into Baidu’s Deep Speech model (ASR system) to attain the text corpus. …”
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AI-Driven Optimization of Blockchain Scalability, Security, and Privacy Protection by Fujiang Yuan, Zihao Zuo, Yang Jiang, Wenzhou Shu, Zhen Tian, Chenxi Ye, Junye Yang, Zebing Mao, Xia Huang, Shaojie Gu, Yanhong Peng

“…Artificial intelligence, with its powerful data processing capability, pattern recognition ability, and adaptive optimization algorithms, can improve the transaction processing efficiency of blockchain, enhance the security mechanism, and optimize the privacy protection strategy, thus effectively alleviating the limitations of blockchain in terms of scalability and security. …”
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GDPR and Large Language Models: Technical and Legal Obstacles by Georgios Feretzakis, Evangelia Vagena, Konstantinos Kalodanis, Paraskevi Peristera, Dimitris Kalles, Athanasios Anastasiou

“…Large Language Models (LLMs) have revolutionized natural language processing but present significant technical and legal challenges when confronted with the General Data Protection Regulation (GDPR). …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Generative AI in Medical Writing Generative AI tools or “chatbots” combine the adaptive learning capabilities of deep learning algorithms and natural language processing, resulting in a virtual assistant or aide that is capable of answering queries, following commands, and improving its responses according to the vast data available on the Internet in addition to user responses.3 This has allowed the accomplishment of various complex tasks within seconds that would otherwise require hours of trial and error. …”
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Machine Learning-Based Sentiment Analysis in English Literature: Using Deep Learning Models to Analyze Emotional and Thematic Content in Texts by Jie Yu, Chunhong Qi

“…The model is designed to capture complex emotional nuances and themes in literature by processing text data from both forward and backward directions, while the attention mechanism enables the model to focus on the most important sections of the text. …”
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Hierarchical Classification of Variable Stars Using Deep Convolutional Neural Networks by Mahdi Abdollahi, Nooshin Torabi, Sadegh Raeisi, Sohrab Rahvar

“…The importance of using fast and automatic methods to classify variable stars for large amounts of data is undeniable. There have been many attempts to classify variable stars by traditional algorithms like Random Forest. …”
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Fractal Neural Network Approach for Analyzing Satellite Images by Volodymyr Shymanskyi, Oleh Ratinskiy, Nataliya Shakhovska

“…The architecture of FractalNet, characterized by recursive structures and deep layers, is evaluated against CNNs like VGG16 and ResNet50. Data collection included manually gathering high-resolution satellite images of specific objects from Google Earth. …”
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Applications, Challenges, and Future Perspectives of Artificial Intelligence in Psychopharmacology, Psychological Disorders and Physiological Psychology: A Comprehensive Review by Mohammad Hossein Salemi, Elham Foroozandeh, Molouk Khademi Ashkzari

“…AI tools improve diagnostic accuracy by analyzing brain imaging, health records, and behavioral data, enabling precise identification of disorders like depression and schizophrenia. …”
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Artificial intelligence in occupational health practice by Francesco Chirico, Nicola Magnavita

“…In this viewpoint, the authors explore AI's role in managing health data through natural language processing, aiding physicians in clinical documentation and patient communication. …”
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The Role of Artificial Intelligence in Criminal Investigations in India by Kumar Navin

“…All these technologies like; predictive policing, facial recognition, natural language processing, or data analytics represent a pathway to faster speeds, higher accuracies, and better outcomes in Criminal Investigations. …”
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Multiscale Materials Imaging and Spectroscopy for Battery Materials by Youngwoo Choi, Gumin Kang, Seonghyun Kim, Yoonhan Cho, Jaewhan Oh, Dongho Kim, Jacob Choe, Jong Min Yuk, Pyuck‐Pa Choi, Yongsoo Yang, Sung‐Yoon Chung, Chi Won Ahn, Jongwoo Lim, Seungbum Hong

“…Moreover, the integration of machine learning accelerates data processing, enabling multiscale correlations and predictive modeling. …”
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Neuronal population model of globular bushy cells covering unit-to-unit variability. by Go Ashida, Helen T Heinermann, Jutta Kretzberg

“…When driven by high-frequency tones, GBCs show primary-like-with-notch or onset-L peristimulus time histograms and relatively irregular spiking. …”
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Building Safer Social Spaces: Addressing Body Shaming with LLMs and Explainable AI by Sajedeh Talebi, Neda Abdolvand

“…Limitations include Reddit-specific data and potential misses of implicit shaming. Future research should explore multi-platform datasets and few-shot learning. …”
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A benchmark for evaluating crisis information generation capabilities in LLMs by Ruilian Han, Lu An, Wei Zhou, Gang Li

“…Under this scoring method, Claude 3.5 Sonnet performed the best, particularly excelling in complex scenarios like natural and accident disasters. In contrast, while scoring slightly lower overall, Chinese models like ERNIE 4.0 Turbo and iFlytek Spark V4.0, showed strong performance in specific crises. …”
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