Optimized AI and IoT-Driven Framework for Intelligent Water Resource Management by Mahmoud Badee Rokaya Mahmoud, Dalia Ismaeil Ibrahim Hemdan, Samah Hazzaa Alajmani, Raneem Yousif Alyami, Ghada Elmarhomy, Hassan Hashim, El-Sayed Atlam

“…This study offers a deployable AI-based model for sustainable water management by tackling the issues of scalability, computational cost, and limitations in benchmark evaluation. …”
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GPU Acceleration for FHEW/TFHE Bootstrapping by Yu Xiao, Feng-Hao Liu, Yu-Te Ku, Ming-Chien Ho, Chih-Fan Hsu, Ming-Ching Chang, Shih-Hao Hung, Wei-Chao Chen

“… Fully Homomorphic Encryption (FHE) allows computations to be performed directly on encrypted data without decryption. …”
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Direct peroral cholangioscopy with red dichromatic imaging 3 detected the perihilar margin of superficial papillary extension in a patient with intraductal papillary neoplasm of th... by Akinobu Koiwai, Morihisa Hirota, Keigo Murakami, Tomofumi Katayama, Ryo Kin, Katsuya Endo, Takayuki Kogure, Atsuko Takasu, Hiroto Sakurai, Noriko Kondo, Kazuhiro Takami, Kuniharu Yamamoto, Yu Katayose, Kennichi Satoh

“…It was difficult to determine the extent of superficial tumor extension with modalities such as contrast‐enhanced computed tomography, magnetic resonance imaging, and endoscopic ultrasonography but the detailed evaluation was possible using POCS with red dichromatic imaging 3. …”
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Bayesian Optimized ANFIS Network Using Grid Partition and Feature Spectrum for Urban Light Pollution Assessment by Nuoqi Wang, Cheng Wang, Zhihong Zhao, Peiyu Wu, Wenqian Xu, Bang Qin, Dong Wang, Rongjun Zhang, Qi Yao

“…Precise luminance evaluation of light pollution requires expensive and time-consuming measurement devices such as hyperspectral imaging cameras and imaging luminance-meters, which are also inconvenient to carry. …”
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Simultaneous surgical treatment for esophagogastric junctional cancer and splenic artery aneurysm resection with spleen preservation using fluorescence imaging: a case report by Mamoru Miyasaka, Yuma Ebihara, Yoshiyuki Yamamura, Kimitaka Tanaka, Yoshitsugu Nakanishi, Toshimichi Asano, Takehiro Noji, Yo Kurashima, Toru Nakamura, Soichi Murakami, Takahiro Tsuchikawa, Keisuke Okamura, Toshiaki Shichinohe, Satoshi Hirano

“…He was diagnosed as having Siewert type II adenocarcinoma. In a computed tomography (CT) scan before surgery, a 10-mm aneurysm in the splenic artery was found. …”
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Reliability of the telephone-administered International Physical Activity Questionnaire in an Italian pilot sample by Alice Mannocci, Claudio Bontempi, Vittoria Colamesta, Filippo Ferretti, Guglielmo Giraldi, Annamaria Lombardi, Angela Meggiolaro, Anna Miani, Silvia Miccoli, Annalisa Rosso, Rosella Saulle, Brigid Unim, Antonio Boccia, Giuseppe La Torre

“…The aim of the study was the reliability evaluation of the Italian telephone-administered IPAQ version in Rome.…”
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The Role of Information Communication Technology to Teaching and Learning Geography in Secondary Schools: A Case Study of Kabale Municipality Kabale District. by Akampurira, Ruth

“…The study results on possible strategies to challenges affecting the use of ICT in enhancing teaching and learning of geography in secondary schools of Kabale Municipality were; building a better relationship between teachers and students to increase the learners motivation and engagement, use of projectors to help learners have clear information, enhancing technical support for teachers, use a balanced data approach to enhance students learning, ensuring use of lesson planning and systematic monitoring and evaluation of ICT use in schools. The study recommended that there is a need for the selected secondary schools to invest more in ICT as means of not only solving accessibility problem but also improving on the presence of the facilities especially computers in the classroom and computer labs and more infrastructures such as printers, computers, projectors should be put in place for more practice and utilization so that teaching and learning of geography can be effective.…”
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Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection by Onur Polat, Ali Ayid Ahmad, Saadin Oyucu, Enes Algul, Ferdi Dogan, Ahmet Aksoz

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Non-Invasive Bioelectrical Characterization of Strawberry Peduncles for Post-Harvest Physiological Maturity Classification by Jonnel Alejandrino, Ronnie Concepcion, Elmer Dadios, Ryan Rhay Vicerra, Argel Bandala, Edwin Sybingco, Laurence Gan Lim, Raouf Naguib

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LLM-Driven, Self-Improving Framework for Security Test Automation: Leveraging Karate DSL for Augmented API Resilience by Emil Marian Pasca, Daniela Delinschi, Rudolf Erdei, Oliviu Matei

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DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

“…Compared to the state-of-the-art (SOTA) models, DeepGenMon features a lightweight design that requires significantly lower computational resources and is easier to train with few parameters. …”
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Comprehensive investigation of rooftop photovoltaic power plants with monocrystalline polycrystalline and thin-film technologies for exergy economic and environmental assessments by Abdelhak Lekbir, Samir Hassani, Putri Nor Liyana Mohamad Radzi, Saad Mekhilef, Kok Soon Tey, Abdullahi Mohamed Samatar, Obaid Alshammari

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Exploring the Dynamics of Canine-Assisted Interactions: A Wearable Approach to Understanding Interspecies Well-Being by Timothy R. N. Holder, Colt Nichols, Emily Summers, David L. Roberts, Alper Bozkurt

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The Effects of Cutting Parameters on Cutting Force and Tribological Properties of Machined Surface Under Dry Turning of AISI304L Austenitic Stainless Steel by Gábor Kónya, Béla Csorba, Norbert Szabó, Zsolt F. Kovács

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Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

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Solar Energy Forecasting Framework Using Prophet Based Machine Learning Model: An Opportunity to Explore Solar Energy Potential in Muscat Oman by Mazhar Baloch, Mohamed Shaik Honnurvali, Adnan Kabbani, Touqeer Ahmed, Sohaib Tahir Chauhdary, Muhammad Salman Saeed

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A novel random forest-based approach for the non-destructive and explainable estimation of ammonia and chlorophyll in fresh-cut rocket leaves by Stefano Polimena, Gianvito Pio, Maria Cefola, Michela Palumbo, Michelangelo Ceci, Giovanni Attolico

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Influence of slab depth spatial variability on skier-triggering probability and avalanche size by Francis Meloche, Louis Guillet, Francis Gauthier, Alexandre Langlois, Johan Gaume

“…We then simulate multiple skier tracks and computed the probability based on the number of skier hits where SPI is below 1. …”
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Functional Prediction of Hypothetical Proteins from and Validation of the Predicted Models by Using ROC Curve Analysis by Md. Amran Gazi, Sultan Mahmud, Shah Mohammad Fahim, Mohammad Golam Kibria, Parag Palit, Md. Rezaul Islam, Humaira Rashid, Subhasish Das, Mustafa Mahfuz, Tahmeed Ahmeed

“…These HPs were found to belong to various classes of proteins such as enzymes, binding proteins, signal transducers, lipoprotein, transporters, virulence and other proteins. Evaluation of the performance of the various computational tools conducted using receiver operating characteristic curve analysis and a resoundingly high average accuracy of 93.6% were obtained. …”
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Deep learning approach for automated ‘Kent’ mango maturity grading in compliance with Peruvian standards by Orlando Salazar-Campos, Javier Moran Ruiz, José Luis Peralta, Mirian Rubio Cieza, Breysi Salazar Medina, Johonathan Salazar-Campos

“…A dataset of 603 labelled images was used to optimise the CNN architecture, systematically evaluating convolutional and pooling layers, image resolution, and training cycles. …”
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