• الحق في حرية التجمع السلمي بين أحكام القانون الدولي لحقوق الإنسان وأحكام القانون الوطني في الكويت 

  الفضلي, حمود يوسف; Alfadhli, Humoud Y. ( دار نشر جامعة قطر , 2025 , Article)

  الأهداف: يسعى هذا البحث إلى استعراض مفهوم التمتع بالحق في حرية التجمع السلمي الدولي في إطار قواعد ممارسته في القانون الدولي لحقوق الإنسان، ويتمحور حول آثار غياب النص التشريعي بعد صدور حكم المحكمة الدستورية الكويتية الذي ...
• Analytical Study on The Legality of Use of Sonic Boom as a “Psywar” Tool Under International and Humanitarian Law 

  Abi Chedid, Darina Saliba; أبي شديد, دارينا صليبا ( Qatar University Press , 2025 , Article)

  The topic of sonic warfare and its legality under international and humanitarian law is critically relevant in modern conflicts and their evolving nature. Sonic weapons comprise a growing type of non-lethal weaponry that ...
• شرط توطين الكمبيالة – دراسة مقارنة في ضوء أحكام القضاء الفرنسي 

  شياب, فؤاد شهاب; Shyyab, Fuad Shehab ( Qatar University Press (QU Press) , 2025 , Article)

  يهدف البحث إلى دراسة شرط توطين الكمبيالة في كل من القانون السعودي والقطري والفرنسي. وفي الحقيقة، فضلًا عن أهميته من الناحية العملية، لم يخضع شرط التوطين سابقًا لدراسة مستقلة مما يسمح لهذا البحث بسد فجوة في المكتبة القانونية ...
• The Expected Medical Liability as a result of the Health Sector’s Interaction with Artificial Intelligence – A Foresight-led, Analytical, and Comparative Study 

  Almasoud, Fahad Ahmad; المسعود, فهد أحمد ( Qatar University Press , 2025 , Article)

  The research focuses on medical liability in the context of AI. Considering that AI is a game-changer, it is a system that produces accurate outputs that may surpass doctors’ abilities. However, this technology is not ...
• Les régimes spéciaux de responsabilité civile et l’intelligence artificielle – Quelles solutions pour le droit mauricien ? 

  Georgijevic, Goran; Georgijevic, Goran ( Qatar University Press , 2025 , Article)

  Objectifs : Le droit civil mauricien est, pour des raisons historiques, d’inspiration française, bien qu’il soit impossible de nier son autonomie par rapport à son homologue français. Le régime spécial de responsabilité ...
• الرؤية القانونية للحق في النسيان الرقمي – دراسة تحليلية 

  عودة, حسام عبيس; Ouda, Hussam Oabes ( Qatar University Press (QU Press) , 2025 , Article)

  لم تحظَ فكرة الحق في النسيان الرقمي بالاعتراف التشريعي الصريح إلا في وقت متأخر في سنة 2016 بصدور اللائحة الأوربية الخاصة بالمعالجة الرقمية للبيانات الشخصية، التي حددت صراحة الحالات التي يجوز فيها استعمال الحق في النسيان ...
• رقابة القضاء على الأحكام التحكيمية – دراسة مقارنة 

  بالكناني, فوزي بن أحمد; BELKNANI, Faouzi Ben Ahmed ( Qatar University Press (QU Press) , 2025 , Article)

  يهدف هذا البحث إلى بيان مدى إقرار القانون التحكيمي القطري رقم 2 لسنة 2017 بمهمة الرقابة التي يمارسها القضاء على القرارات التحكيمية، ومدى أخذه بالأحكام التي من شأنها أن تتلافى الآثار السلبية لتلك الرقابة. وقد اتبعت الدراسة ...
• المركز القانوني للمسير بحكم الواقع للشركة في قانون الشركات التجارية التونسي - دراسة تحليلية 

  قصارة, راسم; Gassara, Racem ( Qatar University Press (QU Press) , 2025 , Article)

  يهدف هذا البحث إلى استعراض شروط وتبعات اكتساب صفة المسير الفعلي للشركة في ظل قانون الشركات التجارية التونسي، وتسليط الضوء على معايير التمييز بين المسير القانوني والمسير الفعلي للشركة لمعالجة إشكالية تنظيم مسؤوليات الأشخاص ...
• Beyond a single solution: Liquefied natural gas process optimization using niching-enhanced meta-heuristics 

  Gaben, Shahd; Al-Saadi, Abdullah; Al-Ali, Abdulaziz; Khraisheh, Majeda; Almomani, Fares; Suganthan, Ponnuthurai N.; Hamdy, Mohamed... more authors ... less authors ( Elsevier , 2025 , Article)

  The escalating global energy demand and the imperative to mitigate climate change necessitate optimizing the natural gas liquefaction process to enhance energy efficiency, reduce costs, and improve sustainability. Traditional ...
• Hybrid training of deep neural networks with multiple output layers for tabular data classification 

  Al-Ali, Abdulaziz; Suganthan, Ponnuthurai N.; Aly, Hussein; Hamdy, Mohamed ( Elsevier , 2025 , Article)

  In the rapidly evolving landscape of deep learning, the ability to balance performance and computational efficiency is indispensable. Layer-wise training, which involves independently training each hidden layer of a neural ...
• Bayesian forward regularization replacing Ridge in online randomized neural network with multiple output layers 

  Hu, Minghui; Li, Ning; Suganthan, Ponnuthurai Nagaratnam; Wang, Junda ( Elsevier , 2025 , Article)

  Forward regularization (-F) with unsupervised knowledge was advocated to replace canonical Ridge regularization (-R) in online linear learners, as it achieved a lower relative regret boundary. However, we observe that -F ...
• Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques 

  Sarmun, Rusab; Mushtak, Adam; Bin Mohamed Ali, Mohamed Sultan; Hasan, Anwarul; Suganthan, Ponnuthurai Nagaratnam; Chowdhury, Muhammad E.H.; Morshedul Abedin, Abu Jaffor... more authors ... less authors ( Elsevier , 2025 , Article)

  Coronary artery disease (CAD) is a significant global health concern, emphasizing the need for reliable and automated diagnostic solutions. This study proposes a novel deep learning framework aimed at improving both full ...
• A reinforcement learning-assisted genetic programming algorithm for team formation problem considering person-job matching 

  Wang, Hao; He, Lei; Pedrycz, Witold; Suganthan, Ponnuthurai Nagaratnam; Xing, Lining; Song, Yanjie; Guo, Yangyang... more authors ... less authors ( Elsevier , 2025 , Article)

  Efficient team formation is crucial for successful completion of new projects in a company. To address the team formation problem considering person-job matching (TFP-PJM), a 0-1 integer programming model with intuitionistic ...
• Drone on-demand delivery routing problem considering order splitting and battery swapping 

  Shuxuan, Li; Liao, Tianjun; Wu, Guohua; Wang, Yalin; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2025 , Article)

  The use of drone delivery has catalyzed technological innovation within the logistics industry. This delivery mode can reduce on-demand delivery times by up to 50 %, while also significantly lowering labor costs and ...
• A review on metaheuristics for solving home health care routing and scheduling problems 

  Dong, Jie; Gao, Kaizhou; Suganthan, Ponnuthurai Nagaratnam; Huang, Min; Zhu, Lihua; Fu, Yaping... more authors ... less authors ( Elsevier , 2025 , Article)

  Nowadays, the healthcare of elderly people catches wide attention since the increase of aging population puts significant pressure on public medical resources. The population aging and scarce care resources are likely to ...
• Learning strategies for particle swarm optimizer: A critical review and performance analysis 

  Dikshit, Chauhan; Shivani; Suganthan, Ponnuthurai N. ( Elsevier , 2025 , Article)

  Nature has long inspired the development of swarm intelligence (SI), a key branch of artificial intelligence that models collective behaviors observed in biological systems for solving complex optimization problems. Particle ...
• A comprehensive survey of adaptive strategies in differential evolutionary algorithms 

  Li, Jianping; Wang, Peng; Suganthan, Ponnuthurai Nagaratnam; Ye, Xinggui ( Elsevier , 2025 , Article)

  Classical differential evolution (DE) encounters premature convergence when dealing with diverse optimization problems. This challenge has encouraged extensive research efforts aimed at improving and enhancing the original ...
• Auxiliary population-assisted differential evolution for multi-area economic dispatch considering valve point effects 

  Xiong, Guojiang; Liu, Jiazeng; Du, Zhengjie; Suganthan, Ponnuthurai Nagaratnam; Shi, Xin ( Elsevier , 2025 , Article)

  Multi-area economic dispatch (MAED) is an indispensable task in the power system's operation. Nevertheless, the valve point effects of generating units make the problem highly nonlinear and non-convex. In this paper, a ...
• Economic emission dispatch of power systems considering uncertainty of wind-solar-hydro with fractional order multi-objective differential evolution 

  Xiong, Guojiang; Suganthan, Ponnuthurai Nagaratnam; Guo, Hanhao ( Elsevier , 2025 , Article)

  The integration of renewable energy brings significant uncertainty to the operation of power systems. Multi-objective economic emission dispatch (MOEED) becomes an important way to reduce operating costs and emissions under ...
• Dynamic economic dispatch of multi-area wind-solar-thermal power systems with fractional order comprehensive learning differential evolution 

  Xiong, Guojiang; Xu, Shengping; Suganthan, Ponnuthurai Nagaratnam; Wang, Yang ( Elsevier , 2025 , Article)

  The significance of multi-area dynamic economic dispatch (MADED) is amplified by the integration of wind and solar energy sources which introduces considerable fluctuations. In this work, a MADED model incorporating wind ...

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