Agentic LLM-based robotic systems for real-world applications: a review on their agenticness and ethics by Emmanuel K. Raptis, Emmanuel K. Raptis, Athanasios Ch. Kapoutsis, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos, Elias B. Kosmatopoulos

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Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers by Naira Elazab, Fahmi Khalifa, Wael Gab Allah, Mohammed Elmogy

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Low responsiveness of machine learning models to critical or deteriorating health conditions by Tanmoy Sarkar Pias, Sharmin Afrose, Moon Das Tuli, Ipsita Hamid Trisha, Xinwei Deng, Charles B. Nemeroff, Danfeng Daphne Yao

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Personalised Affective Classification Through Enhanced EEG Signal Analysis by Joseph Barrowclough, Nonso Nnamoko, Ioannis Korkontzelos

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Development of K-PANOSE Algorithm for Measuring and Classifying Shape Elements of Hangul Fonts by Soon-Bum Lim, Hyun-Young Kim, Kanghyeon Seo, Juhan Yoo, Yoojeong Song

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Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms by Ahmad Zainul Fanani, Arry Maulana Syarif, Ika Novita Dewi, Abdul Karim

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Sentiment classification for telugu using transformed based approaches on a multi-domain dataset by Kannaiah Chattu, K. Adi Narayana Reddy, Sai babu veesam, Pardha Saradhi Chirumamilla, Vunnava Dinesh Babu, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

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Comparative Analysis of MFO, GWO and GSO for Classification of Covid-19 Chest X-Ray Images by Asraa M. Mohammad, Hussien Attia, Yossra H. Ali

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SPARQ: Efficient Entanglement Distribution and Routing in Space–Air–Ground Quantum Networks by Mohamed Shaban, Muhammad Ismail, Walid Saad

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COVID-19 Pandemic Detrimentally Affects Craving and Quality of Life in Patients Under Medication-Assisted Treatment with Buprenorphine and Methadone: The Issue of Medication Dose by Christonikos Leventelis, Petros T. Barmpas, Ioannis Nellas, Sotiris Tasoulis, Aristidis S. Veskoukis, Maria Tsironi

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Multi-Level Cloud Datacenter Security Using Efficient Hybrid Algorithm by Koushik Chakraborty, Amrita Parashar, Pawan Bhambu, Durga Prasad Tripathi, Pratap Patil, Gaurav Kumar Srivastav

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FedDB: A Federated Learning Approach Using DBSCAN for DDoS Attack Detection by Yi-Chen Lee, Wei-Che Chien, Yao-Chung Chang

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Enhanced slope stability prediction using ensemble machine learning techniques by Devendra Kumar Yadav, Swarup Chattopadhyay, Debi Prasad Tripathy, Pragyan Mishra, Pritiranjan Singh

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An adaptive filter for anemia screening using deep convolutional neural network by Jose B. Lazaro, Jr., Jennifer C. Dela Cruz, Jocelyn F. Villaverde

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Feature engineering on climate data with machine learning to understand time-lagging effects in pasture yield predictionGitHub by Thirunavukarasu Balasubramaniam, Wathsala Anupama Mohotti, Kenneth Sabir, Richi Nayak

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Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3 by Abhiram Sharma, R. Parvathi

“…The experimental setup utilizes Python, TensorFlow, and Keras within a GPU-enabled environment to handle computational demands effectively. Comprehensive evaluation metrics, including accuracy, precision, recall, and F1-score, indicate that the proposed model achieves an accuracy of 96.54%, 95.91% Presicion, 96.44% Recall and 96.17% F1 Score surpassing state-of-the-art models such as ResNet-50, DenseNet-201, InceptionV3, and Xception. …”
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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

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Context-Aware Trust Prediction for Optimal Routing in Opportunistic IoT Systems by Abdulkadir Abdulahi Hasan, Xianwen Fang, Sohaib Latif, Adeel Iqbal

“…A composite trust level is computed for each intermediate node to determine its suitability for data forwarding. …”
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Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT by Priyanka Singh, K. Jyothsna Devi, Hiren Kumar Thakkar, Ketan Kotecha

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Enhancing Power Quality in a PV/Wind Smart Grid with Artificial Intelligence Using Inverter Control and Artificial Neural Network Techniques by Musawenkosi Lethumcebo Thanduxolo Zulu, Rudiren Sarma, Remy Tiako

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